Torrents Search Engine
Search Any Type Of Torrents
Torrent Details
-
[ FreeCourseWeb.com ] Coursera - Machine Learning Engineering for Production (MLOps) Specialization
-
Get Bonus Downloads Here.url - 183 B
-
~Get Your Files Here !
-
Bonus Resources.txt - 386 B
-
deploying-machine-learning-models-in-production
-
01_week-1-model-serving-introduction
-
01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney
-
01_course-overview.en.srt - 6.49 KB
-
01_course-overview.en.txt - 4.11 KB
-
01_course-overview.mp4 - 19.34 MB
-
-
02_introduction-to-model-serving
-
01_introduction-to-model-serving.en.srt - 11.11 KB
-
01_introduction-to-model-serving.en.txt - 5.78 KB
-
01_introduction-to-model-serving.mp4 - 10.84 MB
-
02_ungraded-labs-best-practices_instructions.html - 2.45 KB
-
03_ungraded-lab-introduction-to-docker_C4_W1_Lab_1_Docker_Intro.md - 170.71 KB
-
03_ungraded-lab-introduction-to-docker_instructions.html - 1.66 KB
-
-
03_introduction-to-model-serving-infrastructure
-
01_introduction-to-model-serving-infrastructure.en.srt - 8.22 KB
-
01_introduction-to-model-serving-infrastructure.en.txt - 5.24 KB
-
01_introduction-to-model-serving-infrastructure.mp4 - 8.33 MB
-
02_deployment-options.en.srt - 6.98 KB
-
02_deployment-options.en.txt - 3.7 KB
-
02_deployment-options.mp4 - 5.24 MB
-
03_improving-prediction-latency-and-reducing-resource-costs.en.srt - 9.33 KB
-
03_improving-prediction-latency-and-reducing-resource-costs.en.txt - 5 KB
-
03_improving-prediction-latency-and-reducing-resource-costs.mp4 - 8.02 MB
-
04_creating-and-deploying-models-to-ai-prediction-platform.en.srt - 4.06 KB
-
04_creating-and-deploying-models-to-ai-prediction-platform.en.txt - 2.64 KB
-
04_creating-and-deploying-models-to-ai-prediction-platform.mp4 - 6.6 MB
-
05_optional-build-train-and-deploy-an-xgboost-model-on-cloud-ai-platform_C4_W1_Optional_Lab_1.md - 191.9 KB
-
05_optional-build-train-and-deploy-an-xgboost-model-on-cloud-ai-platform_instructions.html - 2.2 KB
-
-
04_installing-tensorflow-serving
-
01_installing-tensorflow-serving.en.srt - 11.28 KB
-
01_installing-tensorflow-serving.en.txt - 5.96 KB
-
01_installing-tensorflow-serving.mp4 - 9.59 MB
-
02_ungraded-lab-tensorflow-serving-with-docker_C4_W1_Lab_2_TFS_Docker.md - 176.02 KB
-
02_ungraded-lab-tensorflow-serving-with-docker_instructions.html - 1.27 KB
-
03_ungraded-lab-serve-a-model-with-tensorflow-serving_C4_W1_Lab_3_TFS.ipynb - 74.72 KB
-
03_ungraded-lab-serve-a-model-with-tensorflow-serving_instructions.html - 1.29 KB
-
-
-
02_week-2-model-serving-patterns-and-infrastructure
-
01_model-serving-architecture
-
01_model-serving-architecture.en.srt - 6.83 KB
-
01_model-serving-architecture.en.txt - 4.42 KB
-
01_model-serving-architecture.mp4 - 9.08 MB
-
02_model-servers-tensorflow-serving.en.srt - 5.57 KB
-
02_model-servers-tensorflow-serving.en.txt - 3.58 KB
-
02_model-servers-tensorflow-serving.mp4 - 6.37 MB
-
03_model-servers-other-providers.en.srt - 9.58 KB
-
03_model-servers-other-providers.en.txt - 5.07 KB
-
03_model-servers-other-providers.mp4 - 11.94 MB
-
04_documentation-on-model-servers_instructions.html - 1.7 KB
-
05_ungraded-lab-deploy-a-ml-model-with-fastapi-and-docker_README.md - 160.2 KB
-
05_ungraded-lab-deploy-a-ml-model-with-fastapi-and-docker_instructions.html - 1.33 KB
-
-
02_scaling-infrastructure
-
01_scaling-infrastructure.en.srt - 18.75 KB
-
01_scaling-infrastructure.en.txt - 10 KB
-
01_scaling-infrastructure.mp4 - 25.03 MB
-
02_learn-about-scaling-with-boy-bands_instructions.html - 2.5 KB
-
03_explore-kubernetes-and-kubeflow_instructions.html - 139.71 KB
-
-
03_online-inference
-
01_online-inference.en.srt - 9.49 KB
-
01_online-inference.en.txt - 6.18 KB
-
01_online-inference.mp4 - 12.9 MB
-
02_ungraded-lab-latency-testing-with-docker-compose-and-locust_README.md - 183.15 KB
-
02_ungraded-lab-latency-testing-with-docker-compose-and-locust_instructions.html - 1.31 KB
-
-
04_data-preprocessing
-
01_data-preprocessing.en.srt - 6.54 KB
-
01_data-preprocessing.en.txt - 4.26 KB
-
01_data-preprocessing.mp4 - 9.4 MB
-
02_data-preprocessing_instructions.html - 2.48 KB
-
-
05_batch-inference-scenarios
-
01_batch-inference-scenarios.en.srt - 10.01 KB
-
01_batch-inference-scenarios.en.txt - 5.29 KB
-
01_batch-inference-scenarios.mp4 - 9.04 MB
-
-
06_batch-processing-with-etl
-
01_batch-processing-with-etl.en.srt - 5.57 KB
-
01_batch-processing-with-etl.en.txt - 2.96 KB
-
01_batch-processing-with-etl.mp4 - 7.36 MB
-
02_ungraded-lab-optional-machine-learning-with-apache-beam-and-tensorflow_C4_W2_Lab_4_Apache_Beam_and_Tensorflow.ipynb - 74.78 KB
-
02_ungraded-lab-optional-machine-learning-with-apache-beam-and-tensorflow_instructions.html - 1.63 KB
-
-
-
03_week-3-model-management-and-delivery
-
01_ml-experiments-management-and-workflow-automation
-
01_experiment-tracking.en.srt - 13.28 KB
-
01_experiment-tracking.en.txt - 6.99 KB
-
01_experiment-tracking.mp4 - 14.78 MB
-
02_tools-for-experiment-tracking.en.srt - 9.83 KB
-
02_tools-for-experiment-tracking.en.txt - 6.28 KB
-
02_tools-for-experiment-tracking.mp4 - 11.68 MB
-
03_experiment-tracking_instructions.html - 1.43 KB
-
04_introduction-to-mlops.en.srt - 13.13 KB
-
04_introduction-to-mlops.en.txt - 8.49 KB
-
04_introduction-to-mlops.mp4 - 15.77 MB
-
-
02_mlops-methodology
-
01_mlops-level-0.en.srt - 8.26 KB
-
01_mlops-level-0.en.txt - 4.4 KB
-
01_mlops-level-0.mp4 - 7.91 MB
-
02_mlops-levels-1-2.en.srt - 16.5 KB
-
02_mlops-levels-1-2.en.txt - 10.56 KB
-
02_mlops-levels-1-2.mp4 - 26.8 MB
-
03_mlops-resources_instructions.html - 1.28 KB
-
04_ungraded-lab-intro-to-kubeflow-pipelines_C4_W3_Lab_1_Kubeflow_Pipelines.ipynb - 74.77 KB
-
04_ungraded-lab-intro-to-kubeflow-pipelines_instructions.html - 1.71 KB
-
05_developing-components-for-an-orchestrated-workflow.en.srt - 16.75 KB
-
05_developing-components-for-an-orchestrated-workflow.en.txt - 10.88 KB
-
05_developing-components-for-an-orchestrated-workflow.mp4 - 19.31 MB
-
06_architecture-for-mlops-using-tfx-kubeflow-pipelines-and-cloud-build_instructions.html - 1.13 KB
-
-
03_model-management-and-deployment-infrastructure
-
01_managing-model-versions.en.srt - 11.19 KB
-
01_managing-model-versions.en.txt - 5.93 KB
-
01_managing-model-versions.mp4 - 10.85 MB
-
02_ungraded-lab-model-versioning-with-tf-serving_README.md - 176.44 KB
-
02_ungraded-lab-model-versioning-with-tf-serving_instructions.html - 1.33 KB
-
03_ml-model-management_instructions.html - 1.09 KB
-
04_continuous-delivery.en.srt - 9.31 KB
-
04_continuous-delivery.en.txt - 5.89 KB
-
04_continuous-delivery.mp4 - 10.92 MB
-
05_ungraded-lab-ci-cd-pipelines-with-github-actions_README.md - 198.68 KB
-
05_ungraded-lab-ci-cd-pipelines-with-github-actions_instructions.html - 1.35 KB
-
06_continuous-delivery_instructions.html - 1.05 KB
-
07_progressive-delivery.en.srt - 11.98 KB
-
07_progressive-delivery.en.txt - 6.25 KB
-
07_progressive-delivery.mp4 - 12.55 MB
-
08_progressive-delivery_instructions.html - 1.17 KB
-
-
-
04_week-4-model-monitoring-and-logging
-
01_model-monitoring-and-logging
-
01_why-monitoring-matters.en.srt - 8.09 KB
-
01_why-monitoring-matters.en.txt - 5.25 KB
-
01_why-monitoring-matters.mp4 - 11.85 MB
-
02_observability-in-ml.en.srt - 7.4 KB
-
02_observability-in-ml.en.txt - 3.95 KB
-
02_observability-in-ml.mp4 - 6.81 MB
-
03_monitoring-targets-in-ml.en.srt - 5.49 KB
-
03_monitoring-targets-in-ml.en.txt - 3.58 KB
-
03_monitoring-targets-in-ml.mp4 - 5.93 MB
-
04_logging-for-ml-monitoring.en.srt - 9.16 KB
-
04_logging-for-ml-monitoring.en.txt - 5.81 KB
-
04_logging-for-ml-monitoring.mp4 - 9.91 MB
-
05_tracing-for-ml-systems.en.srt - 3.89 KB
-
05_tracing-for-ml-systems.en.txt - 2.5 KB
-
05_tracing-for-ml-systems.mp4 - 4.26 MB
-
06_monitoring-machine-learning-models-in-production_instructions.html - 1.12 KB
-
-
02_model-decay
-
01_what-is-model-decay.en.srt - 5.3 KB
-
01_what-is-model-decay.en.txt - 2.78 KB
-
01_what-is-model-decay.mp4 - 5.05 MB
-
02_model-decay-detection.en.srt - 3.88 KB
-
02_model-decay-detection.en.txt - 2 KB
-
02_model-decay-detection.mp4 - 3.85 MB
-
03_ways-to-mitigate-model-decay.en.srt - 8.86 KB
-
03_ways-to-mitigate-model-decay.en.txt - 4.63 KB
-
03_ways-to-mitigate-model-decay.mp4 - 8.57 MB
-
04_addressing-model-decay_instructions.html - 1.14 KB
-
-
03_gdpr-and-privacy
-
01_responsible-ai.en.srt - 6.2 KB
-
01_responsible-ai.en.txt - 4.02 KB
-
01_responsible-ai.mp4 - 7.44 MB
-
02_responsible-ai_instructions.html - 1.23 KB
-
03_legal-requirements-for-secure-and-private-ai.en.srt - 13.77 KB
-
03_legal-requirements-for-secure-and-private-ai.en.txt - 7.21 KB
-
03_legal-requirements-for-secure-and-private-ai.mp4 - 14.77 MB
-
04_gdpr-and-ccpa_instructions.html - 1.13 KB
-
05_anonymization-and-pseudonymisation.en.srt - 4.47 KB
-
05_anonymization-and-pseudonymisation.en.txt - 2.82 KB
-
05_anonymization-and-pseudonymisation.mp4 - 5.82 MB
-
06_right-to-be-forgotten.en.srt - 12.5 KB
-
06_right-to-be-forgotten.en.txt - 6.62 KB
-
06_right-to-be-forgotten.mp4 - 15.04 MB
-
-
04_specialization-recap-and-farewell
-
01_specialization-recap-and-farewell.en.srt - 1.46 KB
-
01_specialization-recap-and-farewell.en.txt - 963 B
-
01_specialization-recap-and-farewell.mp4 - 5.59 MB
-
-
05_course-resources
-
01_course-4-optional-references_1704.04861 - 44.95 KB
-
01_course-4-optional-references_36356.pdf - 1.48 MB
-
01_course-4-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf - 161.73 KB
-
01_course-4-optional-references_BlueGreenDeployment.html - 15.2 KB
-
01_course-4-optional-references_custom_component.md - 175.93 KB
-
01_course-4-optional-references_install.html - 13.18 KB
-
01_course-4-optional-references_instructions.html - 10.81 KB
-
-
06_acknowledgments
-
01_acknowledgements_instructions.html - 3.39 KB
-
02_optional-opportunity-to-mentor-other-learners_instructions.html - 1.67 KB
-
-
-
-
introduction-to-machine-learning-in-production
-
01_week-1-overview-of-the-ml-lifecycle-and-deployment
-
01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney
-
01_specialization-overview.en.srt - 11.04 KB
-
01_specialization-overview.en.txt - 5.85 KB
-
01_specialization-overview.mp4 - 39.95 MB
-
-
02_the-machine-learning-project-lifecycle
-
01_welcome.en.srt - 13.56 KB
-
01_welcome.en.txt - 8.6 KB
-
01_welcome.mp4 - 20.35 MB
-
02_steps-of-an-ml-project.en.srt - 6.42 KB
-
02_steps-of-an-ml-project.en.txt - 3.41 KB
-
02_steps-of-an-ml-project.mp4 - 9.04 MB
-
03_case-study-speech-recognition.en.srt - 15.73 KB
-
03_case-study-speech-recognition.en.txt - 9.99 KB
-
03_case-study-speech-recognition.mp4 - 24.28 MB
-
04_course-outline.en.srt - 4.7 KB
-
04_course-outline.en.txt - 2.45 KB
-
04_course-outline.mp4 - 6.44 MB
-
-
03_deployment
-
01_key-challenges.en.srt - 22.98 KB
-
01_key-challenges.en.txt - 12.01 KB
-
01_key-challenges.mp4 - 25.62 MB
-
02_the-machine-learning-project-lifecycle_exam.html - 4.7 KB
-
03_deployment-patterns.en.srt - 16.45 KB
-
03_deployment-patterns.en.txt - 10.61 KB
-
03_deployment-patterns.mp4 - 20.05 MB
-
04_monitoring.en.srt - 17.19 KB
-
04_monitoring.en.txt - 9.17 KB
-
04_monitoring.mp4 - 18.25 MB
-
05_pipeline-monitoring.en.srt - 12.88 KB
-
05_pipeline-monitoring.en.txt - 8.2 KB
-
05_pipeline-monitoring.mp4 - 16.17 MB
-
06_week-1-optional-references_2010.02013 - 49.27 KB
-
06_week-1-optional-references_2011.09926 - 46.41 KB
-
06_week-1-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf - 161.73 KB
-
06_week-1-optional-references_instructions.html - 2.64 KB
-
-
04_graded-assessment
-
01_deployment_exam.html - 5.82 KB
-
-
05_ungraded-lab
-
01_ungraded-lab-deploying-a-deep-learning-model-local-setup_instructions.html - 2.25 KB
-
-
-
02_week-2-select-and-train-a-model
-
01_selecting-and-training-a-model
-
01_modeling-overview.en.srt - 4.69 KB
-
01_modeling-overview.en.txt - 2.48 KB
-
01_modeling-overview.mp4 - 9.4 MB
-
02_key-challenges.en.srt - 6.63 KB
-
02_key-challenges.en.txt - 4.35 KB
-
02_key-challenges.mp4 - 8.98 MB
-
03_why-low-average-error-isn-t-good-enough.en.srt - 16.76 KB
-
03_why-low-average-error-isn-t-good-enough.en.txt - 8.87 KB
-
03_why-low-average-error-isn-t-good-enough.mp4 - 18.07 MB
-
04_establish-a-baseline.en.srt - 12.71 KB
-
04_establish-a-baseline.en.txt - 6.73 KB
-
04_establish-a-baseline.mp4 - 15.99 MB
-
05_tips-for-getting-started.en.srt - 10.33 KB
-
05_tips-for-getting-started.en.txt - 5.44 KB
-
05_tips-for-getting-started.mp4 - 11.07 MB
-
06_selecting-and-training-a-model_exam.html - 4.98 KB
-
-
02_error-analysis-and-performance-auditing
-
01_error-analysis-example.en.srt - 11.22 KB
-
01_error-analysis-example.en.txt - 7.09 KB
-
01_error-analysis-example.mp4 - 13.74 MB
-
02_prioritizing-what-to-work-on.en.srt - 8.92 KB
-
02_prioritizing-what-to-work-on.en.txt - 4.79 KB
-
02_prioritizing-what-to-work-on.mp4 - 10.23 MB
-
03_skewed-datasets.en.srt - 16.52 KB
-
03_skewed-datasets.en.txt - 8.8 KB
-
03_skewed-datasets.mp4 - 20.11 MB
-
04_performance-auditing.en.srt - 10.14 KB
-
04_performance-auditing.en.txt - 6.52 KB
-
04_performance-auditing.mp4 - 15.76 MB
-
-
03_data-iteration
-
01_data-centric-ai-development.en.srt - 4.04 KB
-
01_data-centric-ai-development.en.txt - 2.19 KB
-
01_data-centric-ai-development.mp4 - 7.52 MB
-
02_a-useful-picture-of-data-augmentation.en.srt - 7.32 KB
-
02_a-useful-picture-of-data-augmentation.en.txt - 4.68 KB
-
02_a-useful-picture-of-data-augmentation.mp4 - 11.36 MB
-
03_data-augmentation.en.srt - 14.1 KB
-
03_data-augmentation.en.txt - 7.37 KB
-
03_data-augmentation.mp4 - 16.04 MB
-
04_can-adding-data-hurt.en.srt - 7.26 KB
-
04_can-adding-data-hurt.en.txt - 4.68 KB
-
04_can-adding-data-hurt.mp4 - 14.57 MB
-
05_adding-features.en.srt - 11.31 KB
-
05_adding-features.en.txt - 7.38 KB
-
05_adding-features.mp4 - 18.1 MB
-
06_experiment-tracking.en.srt - 7.39 KB
-
06_experiment-tracking.en.txt - 3.94 KB
-
06_experiment-tracking.mp4 - 8.86 MB
-
07_from-big-data-to-good-data.en.srt - 4.26 KB
-
07_from-big-data-to-good-data.en.txt - 2.71 KB
-
07_from-big-data-to-good-data.mp4 - 8.52 MB
-
08_week-2-optional-references_1912.02292 - 45.42 KB
-
08_week-2-optional-references_2004.07213v2 - 53.28 KB
-
08_week-2-optional-references_instructions.html - 2.2 KB
-
-
04_graded-assessment
-
01_modeling-challenges_exam.html - 6.39 KB
-
-
-
03_week-3-data-definition-and-baseline
-
01_define-data-and-establish-baseline
-
01_why-is-data-definition-hard.en.srt - 7.35 KB
-
01_why-is-data-definition-hard.en.txt - 3.91 KB
-
01_why-is-data-definition-hard.mp4 - 10.06 MB
-
02_more-label-ambiguity-examples.en.srt - 12.81 KB
-
02_more-label-ambiguity-examples.en.txt - 6.76 KB
-
02_more-label-ambiguity-examples.mp4 - 14.53 MB
-
03_major-types-of-data-problems.en.srt - 14.31 KB
-
03_major-types-of-data-problems.en.txt - 9.25 KB
-
03_major-types-of-data-problems.mp4 - 20 MB
-
04_small-data-and-label-consistency.en.srt - 10.62 KB
-
04_small-data-and-label-consistency.en.txt - 6.66 KB
-
04_small-data-and-label-consistency.mp4 - 15.3 MB
-
05_improving-label-consistency.en.srt - 14 KB
-
05_improving-label-consistency.en.txt - 7.47 KB
-
05_improving-label-consistency.mp4 - 16.04 MB
-
06_human-level-performance-hlp.en.srt - 13.03 KB
-
06_human-level-performance-hlp.en.txt - 8.21 KB
-
06_human-level-performance-hlp.mp4 - 18.51 MB
-
07_raising-hlp.en.srt - 13.03 KB
-
07_raising-hlp.en.txt - 6.95 KB
-
07_raising-hlp.mp4 - 21.81 MB
-
-
02_label-and-organize-data
-
01_obtaining-data.en.srt - 18.67 KB
-
01_obtaining-data.en.txt - 9.96 KB
-
01_obtaining-data.mp4 - 20.71 MB
-
02_data-pipeline.en.srt - 8.59 KB
-
02_data-pipeline.en.txt - 4.56 KB
-
02_data-pipeline.mp4 - 10.66 MB
-
03_meta-data-data-provenance-and-lineage.en.srt - 14.36 KB
-
03_meta-data-data-provenance-and-lineage.en.txt - 7.63 KB
-
03_meta-data-data-provenance-and-lineage.mp4 - 16.09 MB
-
04_balanced-train-dev-test-splits.en.srt - 5.16 KB
-
04_balanced-train-dev-test-splits.en.txt - 3.28 KB
-
04_balanced-train-dev-test-splits.mp4 - 10.81 MB
-
05_data-stage-of-the-ml-production-lifecycle_exam.html - 823.75 KB
-
-
03_scoping-optional
-
01_what-is-scoping.en.srt - 3.42 KB
-
01_what-is-scoping.en.txt - 2.23 KB
-
01_what-is-scoping.mp4 - 8.11 MB
-
02_scoping-process.en.srt - 8.92 KB
-
02_scoping-process.en.txt - 5.74 KB
-
02_scoping-process.mp4 - 13.49 MB
-
03_diligence-on-feasibility-and-value.en.srt - 22.26 KB
-
03_diligence-on-feasibility-and-value.en.txt - 11.6 KB
-
03_diligence-on-feasibility-and-value.mp4 - 23.23 MB
-
04_diligence-on-value.en.srt - 11.02 KB
-
04_diligence-on-value.en.txt - 5.79 KB
-
04_diligence-on-value.mp4 - 13.19 MB
-
05_milestones-and-resourcing.en.srt - 4.26 KB
-
05_milestones-and-resourcing.en.txt - 2.24 KB
-
05_milestones-and-resourcing.mp4 - 4.78 MB
-
06_week-3-optional-references_1706.06969.pdf - 5.36 MB
-
06_week-3-optional-references_DLDL.html - 11.77 KB
-
06_week-3-optional-references_instructions.html - 2.06 KB
-
07_scoping-optional_quiz.html - 6.13 KB
-
-
04_course-resources
-
01_references_1706.06969.pdf - 5.36 MB
-
01_references_1912.02292 - 45.42 KB
-
01_references_2004.07213v2 - 53.28 KB
-
01_references_2010.02013 - 49.27 KB
-
01_references_2011.09926 - 46.41 KB
-
01_references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf - 161.73 KB
-
01_references_DLDL.html - 11.77 KB
-
01_references_instructions.html - 5.13 KB
-
-
05_acknowledgements
-
01_acknowledgments_instructions.html - 4.06 KB
-
-
-
-
machine-learning-data-lifecycle-in-production
-
01_week-1-collecting-labeling-and-validating-data
-
01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney
-
01_specialization-overview.en.srt - 11.2 KB
-
01_specialization-overview.en.txt - 5.84 KB
-
01_specialization-overview.mp4 - 39.95 MB
-
02_course-overview.en.srt - 3.81 KB
-
02_course-overview.en.txt - 2.03 KB
-
02_course-overview.mp4 - 13.7 MB
-
-
02_introduction-to-machine-learning-engineering-in-production
-
01_overview.en.srt - 15.88 KB
-
01_overview.en.txt - 8.36 KB
-
01_overview.mp4 - 18.03 MB
-
02_ml-pipelines.en.srt - 9.64 KB
-
02_ml-pipelines.en.txt - 5.03 KB
-
02_ml-pipelines.mp4 - 10.2 MB
-
-
03_collecting-data
-
01_importance-of-data.en.srt - 10.93 KB
-
01_importance-of-data.en.txt - 7.03 KB
-
01_importance-of-data.mp4 - 12.61 MB
-
02_example-application-suggesting-runs.en.srt - 12.66 KB
-
02_example-application-suggesting-runs.en.txt - 6.62 KB
-
02_example-application-suggesting-runs.mp4 - 10.98 MB
-
03_responsible-data-security-privacy-fairness.en.srt - 13.89 KB
-
03_responsible-data-security-privacy-fairness.en.txt - 8.7 KB
-
03_responsible-data-security-privacy-fairness.mp4 - 14.8 MB
-
-
04_labeling-data
-
01_case-study-degraded-model-performance.en.srt - 11.06 KB
-
01_case-study-degraded-model-performance.en.txt - 6.76 KB
-
01_case-study-degraded-model-performance.mp4 - 15.02 MB
-
02_data-and-concept-change-in-production-ml.en.srt - 8.53 KB
-
02_data-and-concept-change-in-production-ml.en.txt - 4.56 KB
-
02_data-and-concept-change-in-production-ml.mp4 - 8.08 MB
-
03_process-feedback-and-human-labeling.en.srt - 16.77 KB
-
03_process-feedback-and-human-labeling.en.txt - 8.88 KB
-
03_process-feedback-and-human-labeling.mp4 - 14.56 MB
-
-
05_validating-data
-
01_detecting-data-issues.en.srt - 10.58 KB
-
01_detecting-data-issues.en.txt - 5.6 KB
-
01_detecting-data-issues.mp4 - 12.44 MB
-
02_tensorflow-data-validation.en.srt - 8.64 KB
-
02_tensorflow-data-validation.en.txt - 4.58 KB
-
02_tensorflow-data-validation.mp4 - 8.82 MB
-
03_week-1-optional-references_2010.02013 - 49.27 KB
-
03_week-1-optional-references_2011.09926 - 46.41 KB
-
03_week-1-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf - 161.73 KB
-
03_week-1-optional-references_instructions.html - 3.59 KB
-
03_week-1-optional-references_introducing-inclusive-images-competition.html - 308.64 KB
-
04_optional-downloading-your-notebook-and-refreshing-your-workspace_instructions.html - 3.75 KB
-
-
06_assignment
-
01_partial-grading-for-assignments_instructions.html - 101.41 KB
-
-
-
02_week-2-feature-engineering-transformation-and-selection
-
01_feature-engineering
-
01_introduction-to-preprocessing.en.srt - 7.29 KB
-
01_introduction-to-preprocessing.en.txt - 4.68 KB
-
01_introduction-to-preprocessing.mp4 - 10.05 MB
-
02_preprocessing-operations.en.srt - 9.33 KB
-
02_preprocessing-operations.en.txt - 4.92 KB
-
02_preprocessing-operations.mp4 - 11.82 MB
-
03_feature-engineering-techniques.en.srt - 15.18 KB
-
03_feature-engineering-techniques.en.txt - 7.91 KB
-
03_feature-engineering-techniques.mp4 - 20.32 MB
-
04_feature-crosses.en.srt - 5.05 KB
-
04_feature-crosses.en.txt - 2.67 KB
-
04_feature-crosses.mp4 - 5.28 MB
-
-
02_feature-transformation-at-scale
-
01_preprocessing-data-at-scale.en.srt - 15.68 KB
-
01_preprocessing-data-at-scale.en.txt - 9.88 KB
-
01_preprocessing-data-at-scale.mp4 - 17.63 MB
-
02_tensorflow-transform.en.srt - 20.54 KB
-
02_tensorflow-transform.en.txt - 10.73 KB
-
02_tensorflow-transform.mp4 - 17.53 MB
-
03_hello-world-with-tf-transform.en.srt - 9.11 KB
-
03_hello-world-with-tf-transform.en.txt - 5.7 KB
-
03_hello-world-with-tf-transform.mp4 - 10.38 MB
-
-
03_feature-selection
-
01_feature-spaces.en.srt - 6.6 KB
-
01_feature-spaces.en.txt - 4.05 KB
-
01_feature-spaces.mp4 - 6.32 MB
-
02_feature-selection.en.srt - 5.73 KB
-
02_feature-selection.en.txt - 3.58 KB
-
02_feature-selection.mp4 - 5.71 MB
-
03_filter-methods.en.srt - 9.64 KB
-
03_filter-methods.en.txt - 5.03 KB
-
03_filter-methods.mp4 - 8.01 MB
-
04_wrapper-methods.en.srt - 7.85 KB
-
04_wrapper-methods.en.txt - 4.16 KB
-
04_wrapper-methods.mp4 - 7.13 MB
-
05_embedded-methods.en.srt - 7.11 KB
-
05_embedded-methods.en.txt - 4.43 KB
-
05_embedded-methods.mp4 - 7.49 MB
-
06_week-2-optional-references_instructions.html - 2.45 KB
-
06_week-2-optional-references_preprocessing-for-machine-learning-with.html - 305.8 KB
-
06_week-2-optional-references_shampoo.csv - 519 B
-
-
-
03_week-3-data-journey-and-data-storage
-
01_data-journey-and-data-storage
-
01_data-journey.en.srt - 9.6 KB
-
01_data-journey.en.txt - 5.16 KB
-
01_data-journey.mp4 - 10.6 MB
-
02_introduction-to-ml-metadata.en.srt - 10.28 KB
-
02_introduction-to-ml-metadata.en.txt - 6.39 KB
-
02_introduction-to-ml-metadata.mp4 - 13.16 MB
-
03_ml-metadata-in-action.en.srt - 6.93 KB
-
03_ml-metadata-in-action.en.txt - 3.68 KB
-
03_ml-metadata-in-action.mp4 - 6.19 MB
-
-
02_evolving-data
-
01_schema-development.en.srt - 7.11 KB
-
01_schema-development.en.txt - 3.73 KB
-
01_schema-development.mp4 - 6.1 MB
-
02_schema-environments.en.srt - 6.06 KB
-
02_schema-environments.en.txt - 3.22 KB
-
02_schema-environments.mp4 - 5.08 MB
-
-
03_enterprise-data-storage
-
01_feature-stores.en.srt - 8.5 KB
-
01_feature-stores.en.txt - 5.29 KB
-
01_feature-stores.mp4 - 10.96 MB
-
02_data-warehouse.en.srt - 5.48 KB
-
02_data-warehouse.en.txt - 2.93 KB
-
02_data-warehouse.mp4 - 5.92 MB
-
03_data-lakes.en.srt - 3.63 KB
-
03_data-lakes.en.txt - 1.98 KB
-
03_data-lakes.mp4 - 4.75 MB
-
04_week-3-optional-references_instructions.html - 3.18 KB
-
-
-
04_week-4-optional-advanced-labeling-augmentation-and-data-preprocessing
-
01_advanced-labeling-optional
-
01_semi-supervised-learning.en.srt - 7.04 KB
-
01_semi-supervised-learning.en.txt - 3.77 KB
-
01_semi-supervised-learning.mp4 - 6.49 MB
-
02_active-learning.en.srt - 7.26 KB
-
02_active-learning.en.txt - 3.85 KB
-
02_active-learning.mp4 - 5.97 MB
-
03_weak-supervision.en.srt - 6.88 KB
-
03_weak-supervision.en.txt - 4.36 KB
-
03_weak-supervision.mp4 - 6.95 MB
-
-
02_data-augmentation-optional
-
01_data-augmentation.en.srt - 5.6 KB
-
01_data-augmentation.en.txt - 3.59 KB
-
01_data-augmentation.mp4 - 6.17 MB
-
-
03_preprocessing-different-data-types-optional
-
01_time-series.en.srt - 11.27 KB
-
01_time-series.en.txt - 7.04 KB
-
01_time-series.mp4 - 12.65 MB
-
02_sensors-and-signals.en.srt - 3.9 KB
-
02_sensors-and-signals.en.txt - 2.52 KB
-
02_sensors-and-signals.mp4 - 4.34 MB
-
03_week-4-optional-references_1904.04717.pdf - 611.55 KB
-
03_week-4-optional-references_cifar.html - 19.77 KB
-
03_week-4-optional-references_dataset.php - 26.66 KB
-
03_week-4-optional-references_improving-deep-learning-performance.html - 310.37 KB
-
03_week-4-optional-references_instructions.html - 2.81 KB
-
-
04_course-resources
-
01_course-2-optional-references_1904.04717.pdf - 611.55 KB
-
01_course-2-optional-references_2010.02013 - 49.27 KB
-
01_course-2-optional-references_2011.09926 - 46.41 KB
-
01_course-2-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf - 161.73 KB
-
01_course-2-optional-references_cifar.html - 19.77 KB
-
01_course-2-optional-references_dataset.php - 26.66 KB
-
01_course-2-optional-references_improving-deep-learning-performance.html - 310.37 KB
-
01_course-2-optional-references_instructions.html - 8.84 KB
-
01_course-2-optional-references_introducing-inclusive-images-competition.html - 308.64 KB
-
01_course-2-optional-references_preprocessing-for-machine-learning-with.html - 305.8 KB
-
-
05_acknowledgements
-
01_acknowledegements_instructions.html - 4.93 KB
-
-
-
-
machine-learning-modeling-pipelines-in-production
-
01_week-1-neural-architecture-search
-
01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney
-
01_course-overview.en.srt - 3.91 KB
-
01_course-overview.en.txt - 2.12 KB
-
01_course-overview.mp4 - 10.47 MB
-
-
02_hyperparameter-tuning-searching-for-the-best-architecture
-
01_hyperparameter-tuning.en.srt - 5.52 KB
-
01_hyperparameter-tuning.en.txt - 2.9 KB
-
01_hyperparameter-tuning.mp4 - 6.59 MB
-
02_keras-autotuner-demo.en.srt - 7.36 KB
-
02_keras-autotuner-demo.en.txt - 4.51 KB
-
02_keras-autotuner-demo.mp4 - 9.08 MB
-
03_ungraded-lab-intro-to-keras-tuner_C3_W1_Lab_1_Keras_Tuner.ipynb - 74.75 KB
-
03_ungraded-lab-intro-to-keras-tuner_instructions.html - 1.96 KB
-
-
03_automl
-
01_intro-to-automl.en.srt - 7.23 KB
-
01_intro-to-automl.en.txt - 4.62 KB
-
01_intro-to-automl.mp4 - 7.9 MB
-
02_understanding-search-spaces.en.srt - 2.31 KB
-
02_understanding-search-spaces.en.txt - 1.45 KB
-
02_understanding-search-spaces.mp4 - 2.68 MB
-
03_search-strategies.en.srt - 5.97 KB
-
03_search-strategies.en.txt - 3.78 KB
-
03_search-strategies.mp4 - 6.78 MB
-
04_neural-architecture-search_1603.01670 - 45.6 KB
-
04_neural-architecture-search_1611.01578.pdf - 716.02 KB
-
04_neural-architecture-search_1712.00559.pdf - 1.15 MB
-
04_neural-architecture-search_1808.05377.pdf - 501.88 KB
-
04_neural-architecture-search_instructions.html - 1.85 KB
-
05_measuring-automl-efficacy.en.srt - 4.8 KB
-
05_measuring-automl-efficacy.en.txt - 3.12 KB
-
05_measuring-automl-efficacy.mp4 - 5.37 MB
-
06_automl-on-the-cloud.en.srt - 12.89 KB
-
06_automl-on-the-cloud.en.txt - 6.87 KB
-
06_automl-on-the-cloud.mp4 - 11.84 MB
-
07_automl_instructions.html - 1.56 KB
-
-
04_assignment-classify-images-of-clouds-in-the-cloud-with-automl-vision
-
01_assignment-setup.en.srt - 2.05 KB
-
01_assignment-setup.en.txt - 1.06 KB
-
01_assignment-setup.mp4 - 1.98 MB
-
02_week-1-wrap-up.en.srt - 485 B
-
02_week-1-wrap-up.en.txt - 255 B
-
02_week-1-wrap-up.mp4 - 1.21 MB
-
-
-
02_week-2-model-resource-management-techniques
-
01_dimensionality-reduction
-
01_dimensionality-effect-on-performance.en.srt - 10 KB
-
01_dimensionality-effect-on-performance.en.txt - 6.41 KB
-
01_dimensionality-effect-on-performance.mp4 - 15.06 MB
-
02_curse-of-dimensionality.en.srt - 12.59 KB
-
02_curse-of-dimensionality.en.txt - 7.91 KB
-
02_curse-of-dimensionality.mp4 - 13.83 MB
-
03_curse-of-dimensionality-an-example.en.srt - 5.55 KB
-
03_curse-of-dimensionality-an-example.en.txt - 3.53 KB
-
03_curse-of-dimensionality-an-example.mp4 - 6.47 MB
-
04_manual-dimensionality-reduction.en.srt - 7.07 KB
-
04_manual-dimensionality-reduction.en.txt - 4.59 KB
-
04_manual-dimensionality-reduction.mp4 - 7.6 MB
-
05_manual-dimensionality-reduction-case-study.en.srt - 8.89 KB
-
05_manual-dimensionality-reduction-case-study.en.txt - 5.61 KB
-
05_manual-dimensionality-reduction-case-study.mp4 - 9.97 MB
-
06_ungraded-lab-manual-feature-engineering_C3_W2_Lab_1_Manual_Dimensionality.ipynb - 74.74 KB
-
06_ungraded-lab-manual-feature-engineering_instructions.html - 1.64 KB
-
07_algorithmic-dimensionality-reduction.en.srt - 3.91 KB
-
07_algorithmic-dimensionality-reduction.en.txt - 2.03 KB
-
07_algorithmic-dimensionality-reduction.mp4 - 3.42 MB
-
08_principal-components-analysis.en.srt - 11.22 KB
-
08_principal-components-analysis.en.txt - 5.89 KB
-
08_principal-components-analysis.mp4 - 12.78 MB
-
09_other-techniques.en.srt - 8.92 KB
-
09_other-techniques.en.txt - 5.65 KB
-
09_other-techniques.mp4 - 10.83 MB
-
10_dimensionality-reduction-techniques_1404.1100.pdf - 377.45 KB
-
10_dimensionality-reduction-techniques_1404.2986.pdf - 1.34 MB
-
10_dimensionality-reduction-techniques_instructions.html - 1.57 KB
-
11_ungraded-lab-algorithmic-dimensionality-reduction_C3_W2_Lab_2_Algorithmic_Dimensionality.ipynb - 74.77 KB
-
11_ungraded-lab-algorithmic-dimensionality-reduction_instructions.html - 1.81 KB
-
-
02_quantization-and-pruning
-
01_mobile-iot-and-similar-use-cases.en.srt - 11.87 KB
-
01_mobile-iot-and-similar-use-cases.en.txt - 6.27 KB
-
01_mobile-iot-and-similar-use-cases.mp4 - 10.18 MB
-
02_benefits-and-process-of-quantization.en.srt - 13.48 KB
-
02_benefits-and-process-of-quantization.en.txt - 7.13 KB
-
02_benefits-and-process-of-quantization.mp4 - 13.66 MB
-
03_post-training-quantization.en.srt - 7.75 KB
-
03_post-training-quantization.en.txt - 4.1 KB
-
03_post-training-quantization.mp4 - 8.65 MB
-
04_quantization-aware-training.en.srt - 6.75 KB
-
04_quantization-aware-training.en.txt - 3.57 KB
-
04_quantization-aware-training.mp4 - 6.26 MB
-
05_quantization_1712.05877 - 46.04 KB
-
05_quantization_instructions.html - 1.64 KB
-
06_pruning.en.srt - 18.86 KB
-
06_pruning.en.txt - 10.02 KB
-
06_pruning.mp4 - 20.42 MB
-
07_pruning_1803.03635 - 47.3 KB
-
07_pruning_instructions.html - 1.39 KB
-
07_pruning_lecun-90b.pdf - 117.91 KB
-
08_ungraded-lab-quantization-and-pruning_C3_W2_Lab_3_Quantization_and_Pruning.ipynb - 74.75 KB
-
08_ungraded-lab-quantization-and-pruning_instructions.html - 1.55 KB
-
-
-
03_week-3-high-performance-modeling
-
01_high-performance-modeling
-
01_distributed-training.en.srt - 13.86 KB
-
01_distributed-training.en.txt - 8.63 KB
-
01_distributed-training.mp4 - 15.94 MB
-
02_ungraded-lab-distributed-strategies-with-tf-and-keras_C3_W3_Lab_1_Distributed_Training.ipynb - 74.75 KB
-
02_ungraded-lab-distributed-strategies-with-tf-and-keras_instructions.html - 1.63 KB
-
03_high-performance-ingestion.en.srt - 18.4 KB
-
03_high-performance-ingestion.en.txt - 9.72 KB
-
03_high-performance-ingestion.mp4 - 15.77 MB
-
04_training-large-models-the-rise-of-giant-neural-nets-and-parallelism.en.srt - 20.56 KB
-
04_training-large-models-the-rise-of-giant-neural-nets-and-parallelism.en.txt - 10.83 KB
-
04_training-large-models-the-rise-of-giant-neural-nets-and-parallelism.mp4 - 17.68 MB
-
05_high-performance-modeling_1806.03377 - 45.02 KB
-
05_high-performance-modeling_1811.06965 - 47.73 KB
-
05_high-performance-modeling_instructions.html - 1.68 KB
-
05_high-performance-modeling_introducing-gpipe-open-source-library.html - 313.72 KB
-
-
02_knowledge-distillation
-
01_teacher-and-student-networks.en.srt - 4.87 KB
-
01_teacher-and-student-networks.en.txt - 2.55 KB
-
01_teacher-and-student-networks.mp4 - 4.35 MB
-
02_knowledge-distillation-techniques.en.srt - 13.58 KB
-
02_knowledge-distillation-techniques.en.txt - 7.16 KB
-
02_knowledge-distillation-techniques.mp4 - 12.35 MB
-
03_ungraded-lab-knowledge-distillation_C3_W3_Lab_2_Knowledge_Distillation.ipynb - 74.75 KB
-
03_ungraded-lab-knowledge-distillation_instructions.html - 1.53 KB
-
04_case-study-how-to-distill-knowledge-for-a-q-a-task.en.srt - 10.78 KB
-
04_case-study-how-to-distill-knowledge-for-a-q-a-task.en.txt - 6.72 KB
-
04_case-study-how-to-distill-knowledge-for-a-q-a-task.mp4 - 13.78 MB
-
05_knowledge-distillation_1503.02531.pdf - 104.13 KB
-
05_knowledge-distillation_1910.08381.pdf - 619.11 KB
-
05_knowledge-distillation_instructions.html - 1.4 KB
-
-
-
04_week-4-model-analysis
-
01_model-analysis-overview
-
01_model-performance-analysis.en.srt - 11.9 KB
-
01_model-performance-analysis.en.txt - 6.19 KB
-
01_model-performance-analysis.mp4 - 15.69 MB
-
02_tensorboard_instructions.html - 1.25 KB
-
-
02_advanced-model-analysis-and-debugging
-
01_introduction-to-tensorflow-model-analysis.en.srt - 9.68 KB
-
01_introduction-to-tensorflow-model-analysis.en.txt - 5.17 KB
-
01_introduction-to-tensorflow-model-analysis.mp4 - 9.24 MB
-
02_tfma-in-practice.en.srt - 5.8 KB
-
02_tfma-in-practice.en.txt - 3.09 KB
-
02_tfma-in-practice.mp4 - 5.52 MB
-
03_tensorflow-model-analysis_instructions.html - 1.46 KB
-
03_tensorflow-model-analysis_introducing-tensorflow-model-analysis.html - 86.13 KB
-
04_model-debugging-overview.en.srt - 4.86 KB
-
04_model-debugging-overview.en.txt - 3.04 KB
-
04_model-debugging-overview.mp4 - 4.72 MB
-
05_benchmark-models.en.srt - 2.07 KB
-
05_benchmark-models.en.txt - 1.08 KB
-
05_benchmark-models.mp4 - 1.57 MB
-
06_sensitivity-analysis-and-adversarial-attacks.en.srt - 12.37 KB
-
06_sensitivity-analysis-and-adversarial-attacks.en.txt - 7.9 KB
-
06_sensitivity-analysis-and-adversarial-attacks.mp4 - 13.76 MB
-
07_adversarial-attack-demo.en.srt - 4.91 KB
-
07_adversarial-attack-demo.en.txt - 3.06 KB
-
07_adversarial-attack-demo.mp4 - 11.36 MB
-
08_sensitivity-analysis-and-adversarial-attacks_1412.6572 - 43.65 KB
-
08_sensitivity-analysis-and-adversarial-attacks_adversarial_fgsm.ipynb - 74.69 KB
-
08_sensitivity-analysis-and-adversarial-attacks_instructions.html - 1.74 KB
-
09_residual-analysis.en.srt - 3.32 KB
-
09_residual-analysis.en.txt - 2.17 KB
-
09_residual-analysis.mp4 - 3.09 MB
-
10_model-remediation.en.srt - 6.08 KB
-
10_model-remediation.en.txt - 3.9 KB
-
10_model-remediation.mp4 - 6.21 MB
-
11_fairness.en.srt - 6.98 KB
-
11_fairness.en.txt - 3.74 KB
-
11_fairness.mp4 - 5.27 MB
-
12_measuring-fairness.en.srt - 9.14 KB
-
12_measuring-fairness.en.txt - 4.81 KB
-
12_measuring-fairness.mp4 - 8.01 MB
-
13_model-remediation-and-fairness_1904.13341.pdf - 1.16 MB
-
13_model-remediation-and-fairness_instructions.html - 1.97 KB
-
-
03_continuous-evaluation-and-monitoring
-
01_continuous-evaluation-and-monitoring.en.srt - 23.42 KB
-
01_continuous-evaluation-and-monitoring.en.txt - 12.45 KB
-
01_continuous-evaluation-and-monitoring.mp4 - 23.54 MB
-
02_continuous-evaluation-and-monitoring_1704.00023.pdf - 2.68 MB
-
02_continuous-evaluation-and-monitoring_instructions.html - 2.22 KB
-
-
-
05_week-5-interpretability
-
01_explainable-ai
-
01_explainable-ai.en.srt - 9.76 KB
-
01_explainable-ai.en.txt - 5.08 KB
-
01_explainable-ai.mp4 - 11.59 MB
-
02_explainable-ai_1910.10045.pdf - 3.65 MB
-
02_explainable-ai_instructions.html - 1.39 KB
-
-
02_interpretability
-
01_model-interpretation-methods.en.srt - 14.72 KB
-
01_model-interpretation-methods.en.txt - 7.89 KB
-
01_model-interpretation-methods.mp4 - 13.01 MB
-
02_intrinsically-interpretable-models.en.srt - 16.4 KB
-
02_intrinsically-interpretable-models.en.txt - 8.71 KB
-
02_intrinsically-interpretable-models.mp4 - 14.78 MB
-
03_interpretability_15-243.pdf - 3.24 MB
-
03_interpretability_instructions.html - 1.61 KB
-
-
03_understanding-model-predictions
-
01_model-agnostic-methods.en.srt - 2.45 KB
-
01_model-agnostic-methods.en.txt - 1.53 KB
-
01_model-agnostic-methods.mp4 - 2.46 MB
-
02_partial-dependence-plots.en.srt - 7.23 KB
-
02_partial-dependence-plots.en.txt - 4.55 KB
-
02_partial-dependence-plots.mp4 - 7.41 MB
-
03_permutation-feature-importance.en.srt - 5.11 KB
-
03_permutation-feature-importance.en.txt - 2.73 KB
-
03_permutation-feature-importance.mp4 - 4.47 MB
-
04_permutation-feature-importance_1801.01489 - 46.26 KB
-
04_permutation-feature-importance_instructions.html - 1.27 KB
-
05_ungraded-lab-permutation-feature-importance_C3_W5_Lab_2_Permutation_Importance.ipynb - 74.75 KB
-
05_ungraded-lab-permutation-feature-importance_instructions.html - 1.33 KB
-
06_shapley-values.en.srt - 8.97 KB
-
06_shapley-values.en.txt - 5.76 KB
-
06_shapley-values.mp4 - 10.21 MB
-
07_shapley-additive-explanations-shap.en.srt - 4.21 KB
-
07_shapley-additive-explanations-shap.en.txt - 2.69 KB
-
07_shapley-additive-explanations-shap.mp4 - 4.9 MB
-
08_ungraded-lab-shapley-values_C3_W5_Lab_1_Shap_Values.ipynb - 74.73 KB
-
08_ungraded-lab-shapley-values_instructions.html - 1.5 KB
-
09_understanding-model-predictions_1905.04610 - 48.22 KB
-
09_understanding-model-predictions_8a20a8621978632d76c43dfd28b67767-Paper.pdf - 906.19 KB
-
09_understanding-model-predictions_instructions.html - 1.54 KB
-
10_testing-concept-activation-vectors.en.srt - 4.14 KB
-
10_testing-concept-activation-vectors.en.txt - 2.65 KB
-
10_testing-concept-activation-vectors.mp4 - 5.53 MB
-
11_lime.en.srt - 2.3 KB
-
11_lime.en.txt - 1.21 KB
-
11_lime.mp4 - 2.11 MB
-
12_tcav-and-lime_1711.11279.pdf - 5.98 MB
-
12_tcav-and-lime_instructions.html - 1.34 KB
-
13_ai-explanations.en.srt - 8.46 KB
-
13_ai-explanations.en.txt - 4.5 KB
-
13_ai-explanations.mp4 - 10.35 MB
-
14_ai-explanations_AI_Explainability_Whitepaper.pdf - 649.47 KB
-
14_ai-explanations_instructions.html - 1.33 KB
-
-
04_course-resources
-
01_course-3-optional-references_1409.4842 - 44.6 KB
-
01_course-3-optional-references_1412.6572.pdf - 1012.07 KB
-
01_course-3-optional-references_15-243.pdf - 3.24 MB
-
01_course-3-optional-references_1503.02531.pdf - 104.13 KB
-
01_course-3-optional-references_1511.04508 - 47.26 KB
-
01_course-3-optional-references_1603.01670 - 45.6 KB
-
01_course-3-optional-references_1607.02533.pdf - 6.14 MB
-
01_course-3-optional-references_1611.01578.pdf - 716.02 KB
-
01_course-3-optional-references_1703.01365.pdf - 3.23 MB
-
01_course-3-optional-references_1704.00023.pdf - 2.68 MB
-
01_course-3-optional-references_1707.08945.pdf - 2.15 MB
-
01_course-3-optional-references_1711.11279.pdf - 5.98 MB
-
01_course-3-optional-references_1712.00559.pdf - 1.15 MB
-
01_course-3-optional-references_1712.05877 - 46.04 KB
-
01_course-3-optional-references_1801.01489 - 46.26 KB
-
01_course-3-optional-references_1803.03635 - 47.3 KB
-
01_course-3-optional-references_1806.03377 - 45.02 KB
-
01_course-3-optional-references_1808.05377.pdf - 501.88 KB
-
01_course-3-optional-references_1811.06965 - 47.73 KB
-
01_course-3-optional-references_1904.13341.pdf - 1.16 MB
-
01_course-3-optional-references_1910.08381 - 45.57 KB
-
01_course-3-optional-references_1911.04252 - 47.44 KB
-
01_course-3-optional-references_2010.02013 - 49.27 KB
-
01_course-3-optional-references_2011.09926 - 46.41 KB
-
01_course-3-optional-references_AI_Explainability_Whitepaper.pdf - 649.47 KB
-
01_course-3-optional-references_FPF_WarningSigns_Report.pdf - 2.93 MB
-
01_course-3-optional-references_custom-on-device-ml-models.html - 312.51 KB
-
01_course-3-optional-references_decomposition.html - 106.33 KB
-
01_course-3-optional-references_gpipe.py - 399.49 KB
-
01_course-3-optional-references_instructions.html - 19.73 KB
-
01_course-3-optional-references_introducing-gpipe-open-source-library.html - 313.72 KB
-
01_course-3-optional-references_introducing-tensorflow-model-analysis.html - 86.13 KB
-
01_course-3-optional-references_lecun-90b.pdf - 117.91 KB
-
01_course-3-optional-references_parsons.pdf - 503.43 KB
-
01_course-3-optional-references_plot_ica_vs_pca.html - 36.94 KB
-
01_course-3-optional-references_plot_partial_dependence.html - 116.12 KB
-
01_course-3-optional-references_quantization-aware-training-with-tensorflow-model-optimization-toolkit.html - 83.67 KB
-
01_course-3-optional-references_xai_survey_paper_2017.pdf - 89.31 KB
-
-
05_acknowledgments
-
01_acknowledgements_instructions.html - 4.02 KB
-
-
-
-
-
| Trackers | Seeders | Leechers | Downloads |
|---|---|---|---|
| udp://tracker.opentrackr.org:1337/announce | 8 | 3 | 23 |
| udp://fe.dealclub.de:6969/announce | 0 | 0 | 0 |
| udp://open.stealth.si:80/announce | 9 | 2 | 24 |
| udp://movies.zsw.ca:6969/announce | 0 | 0 | 0 |
| udp://tracker2.dler.com:80/announce | 0 | 0 | 0 |
| udp://www.torrent.eu.org:451/announce | 8 | 3 | 16 |
| udp://tracker.torrent.eu.org:451/announce | 8 | 3 | 16 |
| udp://tracker.breizh.pm:6969/announce | 0 | 0 | 0 |
| udp://tracker.moeking.me:6969/announce | 0 | 0 | 0 |
| udp://tracker.blacksparrowmedia.net:6969/announce | 0 | 0 | 0 |
| udp://opentracker.i2p.rocks:6969/announce | 7 | 3 | 22 |
| udp://tracker.monitorit4.me:6969/announce | 0 | 0 | 0 |
| udp://pow7.com:80/announce | 4 | 1 | 7 |
| udp://tracker.leech.ie:1337/announce | 0 | 0 | 0 |
| udp://exodus.desync.com:6969/announce | 7 | 4 | 18 |
| udp://tracker.theoks.net:6969/announce | 0 | 0 | 0 |
| udp://explodie.org:6969/announce | 7 | 2 | 0 |
| udp://bt1.archive.org:6969/announce | 0 | 0 | 0 |
| udp://bt2.archive.org:6969/announce | 0 | 0 | 0 |
| udp://tracker.army:6969/announce | 0 | 0 | 0 |
| udp://tracker1.bt.moack.co.kr:80/announce | 0 | 0 | 0 |
| udp://tracker.dler.com:6969/announce | 0 | 0 | 0 |
InfoHash:
3BFE5A7239C61503FF9CFFECFD0C99DECAA7BBBF
Last updated:
Jun 23, 2023
File count:
702 B
File Category:
9
Tags:
Other, Tutorials