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[FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence
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19. Setting up your Environment (FAQ by Student Request)
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3. Anaconda Environment Setup.mp4 - 348.39 MB
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4. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 - 216.59 MB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 - 210.16 MB
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1. Pre-Installation Check.mp4 - 15.08 MB
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4. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt - 32.01 KB
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3. Anaconda Environment Setup.srt - 19.96 KB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt - 14.69 KB
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1. Pre-Installation Check.srt - 6.59 KB
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8. Natural Language Processing (NLP)
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7. Text Classification with LSTMs (V2).mp4 - 176.8 MB
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10. (Legacy) VIP Making Predictions with a Trained NLP Model.mp4 - 87.61 MB
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4. Beginner Blues - PyTorch NLP Version.mp4 - 73.33 MB
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8. CNNs for Text.mp4 - 58.41 MB
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9. Text Classification with CNNs (V2).mp4 - 48.26 MB
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6. (Legacy) Text Preprocessing Code Example.mp4 - 46.25 MB
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1. Embeddings.mp4 - 37.21 MB
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3. Text Preprocessing Concepts.mp4 - 35.25 MB
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11. VIP Making Predictions with a Trained NLP Model (V2).mp4 - 32.6 MB
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5. (Legacy) Text Preprocessing Code Preparation.mp4 - 30.88 MB
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2. Neural Networks with Embeddings.mp4 - 10.66 MB
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7. Text Classification with LSTMs (V2).srt - 20.46 KB
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3. Text Preprocessing Concepts.srt - 17.87 KB
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1. Embeddings.srt - 16.12 KB
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8. CNNs for Text.srt - 15.99 KB
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5. (Legacy) Text Preprocessing Code Preparation.srt - 15.31 KB
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4. Beginner Blues - PyTorch NLP Version.srt - 14.53 KB
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6. (Legacy) Text Preprocessing Code Example.srt - 9.43 KB
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10. (Legacy) VIP Making Predictions with a Trained NLP Model.srt - 9.13 KB
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9. Text Classification with CNNs (V2).srt - 7.09 KB
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11. VIP Making Predictions with a Trained NLP Model (V2).srt - 5.32 KB
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2. Neural Networks with Embeddings.srt - 4.51 KB
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4.1 Why bad programmers always need the latest version.html - 89 B
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7. Recurrent Neural Networks, Time Series, and Sequence Data
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11. A More Challenging Sequence.mp4 - 160.58 MB
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3. Autoregressive Linear Model for Time Series Prediction.mp4 - 110.46 MB
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8. Paying Attention to Shapes.mp4 - 91.7 MB
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16. Stock Return Predictions using LSTMs (pt 3).mp4 - 90.19 MB
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9. GRU and LSTM (pt 1).mp4 - 79.79 MB
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1. Sequence Data.mp4 - 71.43 MB
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14. Stock Return Predictions using LSTMs (pt 1).mp4 - 69.98 MB
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5. Recurrent Neural Networks.mp4 - 58.9 MB
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15. Stock Return Predictions using LSTMs (pt 2).mp4 - 54.3 MB
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7. RNN for Time Series Prediction.mp4 - 53 MB
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10. GRU and LSTM (pt 2).mp4 - 50.42 MB
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2. Forecasting.mp4 - 48.39 MB
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6. RNN Code Preparation.mp4 - 38.97 MB
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13. RNN for Image Classification (Code).mp4 - 25.99 MB
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12. RNN for Image Classification (Theory).mp4 - 20.27 MB
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17. Other Ways to Forecast.mp4 - 18.09 MB
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4. Proof that the Linear Model Works.mp4 - 11.41 MB
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1. Sequence Data.srt - 29.57 KB
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5. Recurrent Neural Networks.srt - 25.69 KB
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9. GRU and LSTM (pt 1).srt - 22.8 KB
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6. RNN Code Preparation.srt - 17.63 KB
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14. Stock Return Predictions using LSTMs (pt 1).srt - 15.96 KB
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10. GRU and LSTM (pt 2).srt - 14.92 KB
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3. Autoregressive Linear Model for Time Series Prediction.srt - 14.68 KB
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16. Stock Return Predictions using LSTMs (pt 3).srt - 14.37 KB
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2. Forecasting.srt - 13.92 KB
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8. Paying Attention to Shapes.srt - 11 KB
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11. A More Challenging Sequence.srt - 10.66 KB
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7. RNN for Time Series Prediction.srt - 9.88 KB
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17. Other Ways to Forecast.srt - 7.18 KB
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15. Stock Return Predictions using LSTMs (pt 2).srt - 6.85 KB
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12. RNN for Image Classification (Theory).srt - 5.99 KB
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4. Proof that the Linear Model Works.srt - 4.56 KB
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13. RNN for Image Classification (Code).srt - 3.28 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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21. Effective Learning Strategies for Machine Learning (FAQ by Student Request)
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 - 149.87 MB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 - 147.36 MB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 - 69.11 MB
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1. How to Succeed in this Course (Long Version).mp4 - 27.36 MB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt - 31.63 KB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt - 23.01 KB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt - 16.11 KB
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1. How to Succeed in this Course (Long Version).srt - 14.61 KB
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5. Feedforward Artificial Neural Networks
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9. ANN for Image Classification.mp4 - 142.4 MB
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10. ANN for Regression.mp4 - 103.86 MB
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8. Code Preparation (ANN).mp4 - 66.07 MB
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4. Activation Functions.mp4 - 55.32 MB
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6. How to Represent Images.mp4 - 45.42 MB
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3. The Geometrical Picture.mp4 - 32.76 MB
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5. Multiclass Classification.mp4 - 31.45 MB
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2. Forward Propagation.mp4 - 29.67 MB
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11. How to Choose Hyperparameters.mp4 - 29.57 MB
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1. Artificial Neural Networks Section Introduction.mp4 - 20.25 MB
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7. Color Mixing Clarification.mp4 - 3.06 MB
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4. Activation Functions.srt - 22.64 KB
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9. ANN for Image Classification.srt - 22.58 KB
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8. Code Preparation (ANN).srt - 20.48 KB
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6. How to Represent Images.srt - 15.3 KB
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10. ANN for Regression.srt - 13.01 KB
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2. Forward Propagation.srt - 12.2 KB
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5. Multiclass Classification.srt - 12.2 KB
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3. The Geometrical Picture.srt - 11.51 KB
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11. How to Choose Hyperparameters.srt - 8.71 KB
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1. Artificial Neural Networks Section Introduction.srt - 7.9 KB
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7. Color Mixing Clarification.srt - 1.14 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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4. Machine Learning and Neurons
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9. Classification Notebook.mp4 - 140.46 MB
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6. Moore's Law Notebook.mp4 - 126.64 MB
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4. Regression Notebook.mp4 - 71.24 MB
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7. Linear Classification Basics.mp4 - 65.86 MB
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2. Regression Basics.mp4 - 57.56 MB
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1. What is Machine Learning.mp4 - 54.22 MB
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10. Saving and Loading a Model.mp4 - 49.9 MB
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13. Model With Logits.mp4 - 48.45 MB
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14. Train Sets vs. Validation Sets vs. Test Sets.mp4 - 33.71 MB
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12. How does a model learn.mp4 - 32.89 MB
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3. Regression Code Preparation.mp4 - 31.49 MB
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11. A Short Neuroscience Primer.mp4 - 29.93 MB
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5. Moore's Law.mp4 - 27.4 MB
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15. Suggestion Box.mp4 - 27.16 MB
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8. Classification Code Preparation.mp4 - 18.48 MB
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7. Linear Classification Basics.srt - 20.5 KB
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2. Regression Basics.srt - 20.08 KB
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1. What is Machine Learning.srt - 18.45 KB
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4. Regression Notebook.srt - 17.48 KB
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3. Regression Code Preparation.srt - 16.37 KB
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6. Moore's Law Notebook.srt - 15.85 KB
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9. Classification Notebook.srt - 14.59 KB
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14. Train Sets vs. Validation Sets vs. Test Sets.srt - 14.26 KB
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12. How does a model learn.srt - 13.76 KB
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11. A Short Neuroscience Primer.srt - 12.27 KB
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8. Classification Code Preparation.srt - 9.36 KB
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5. Moore's Law.srt - 9.14 KB
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10. Saving and Loading a Model.srt - 6.61 KB
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13. Model With Logits.srt - 5.32 KB
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15. Suggestion Box.srt - 4.75 KB
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9. Recommender Systems
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3. Recommender Systems with Deep Learning Code (pt 1).mp4 - 127.46 MB
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4. Recommender Systems with Deep Learning Code (pt 2).mp4 - 97.02 MB
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1. Recommender Systems with Deep Learning Theory.mp4 - 46.4 MB
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5. VIP Making Predictions with a Trained Recommender Model.mp4 - 44.76 MB
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2. Recommender Systems with Deep Learning Code Preparation.mp4 - 32.79 MB
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4. Recommender Systems with Deep Learning Code (pt 2).srt - 17.43 KB
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1. Recommender Systems with Deep Learning Theory.srt - 13.71 KB
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2. Recommender Systems with Deep Learning Code Preparation.srt - 12.67 KB
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3. Recommender Systems with Deep Learning Code (pt 1).srt - 10.92 KB
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5. VIP Making Predictions with a Trained Recommender Model.srt - 6.01 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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3. Google Colab
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2. Uploading your own data to Google Colab.mp4 - 126.85 MB
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3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 - 57 MB
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1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 - 56.01 MB
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3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt - 15.42 KB
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2. Uploading your own data to Google Colab.srt - 14.47 KB
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1. Intro to Google Colab, how to use a GPU or TPU for free.srt - 14.34 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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20. Extra Help With Python Coding for Beginners (FAQ by Student Request)
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4. Proof that using Jupyter Notebook is the same as not using it.mp4 - 119.02 MB
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2. How to Code Yourself (part 1).mp4 - 103.66 MB
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1. Beginner's Coding Tips.mp4 - 48.76 MB
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3. How to Code Yourself (part 2).mp4 - 33.36 MB
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2. How to Code Yourself (part 1).srt - 23.38 KB
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1. Beginner's Coding Tips.srt - 19.02 KB
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4. Proof that using Jupyter Notebook is the same as not using it.srt - 14.22 KB
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3. How to Code Yourself (part 2).srt - 12.98 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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10. Transfer Learning for Computer Vision
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5. Transfer Learning Code (pt 1).mp4 - 99.9 MB
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1. Transfer Learning Theory.mp4 - 76.99 MB
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6. Transfer Learning Code (pt 2).mp4 - 72.68 MB
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3. Large Datasets.mp4 - 25.19 MB
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2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 - 17.99 MB
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4. 2 Approaches to Transfer Learning.mp4 - 17.19 MB
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5. Transfer Learning Code (pt 1).srt - 11.61 KB
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1. Transfer Learning Theory.srt - 10.7 KB
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3. Large Datasets.srt - 9.09 KB
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6. Transfer Learning Code (pt 2).srt - 8.76 KB
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4. 2 Approaches to Transfer Learning.srt - 5.96 KB
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2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt - 5.16 KB
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13. Stock Trading Project with Deep Reinforcement Learning
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7. Code pt 3.mp4 - 83.19 MB
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6. Code pt 2.mp4 - 57.8 MB
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5. Code pt 1.mp4 - 53.71 MB
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8. Code pt 4.mp4 - 52.6 MB
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2. Data and Environment.mp4 - 36.63 MB
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4. Program Design and Layout.mp4 - 18.32 MB
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1. Reinforcement Learning Stock Trader Introduction.mp4 - 17.9 MB
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3. Replay Buffer.mp4 - 15.99 MB
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9. Reinforcement Learning Stock Trader Discussion.mp4 - 10.49 MB
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2. Data and Environment.srt - 15.69 KB
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5. Code pt 1.srt - 12.12 KB
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6. Code pt 2.srt - 11.75 KB
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4. Program Design and Layout.srt - 8.64 KB
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7. Code pt 3.srt - 8.44 KB
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8. Code pt 4.srt - 8.37 KB
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3. Replay Buffer.srt - 6.94 KB
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1. Reinforcement Learning Stock Trader Introduction.srt - 6.84 KB
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9. Reinforcement Learning Stock Trader Discussion.srt - 4.39 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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11. GANs (Generative Adversarial Networks)
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3. GAN Code.mp4 - 81.52 MB
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1. GAN Theory.mp4 - 68.75 MB
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2. GAN Code Preparation.mp4 - 18.06 MB
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1. GAN Theory.srt - 21.06 KB
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3. GAN Code.srt - 10.66 KB
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2. GAN Code Preparation.srt - 8.51 KB
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6. Convolutional Neural Networks
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6. CNN Code Preparation (part 1).mp4 - 79.91 MB
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1. What is Convolution (part 1).mp4 - 79.72 MB
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13. Improving CIFAR-10 Results.mp4 - 75.69 MB
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4. Convolution on Color Images.mp4 - 75.66 MB
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9. CNN for Fashion MNIST.mp4 - 73.76 MB
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5. CNN Architecture.mp4 - 57.56 MB
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10. CNN for CIFAR-10.mp4 - 55.28 MB
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3. What is Convolution (part 3).mp4 - 29.82 MB
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11. Data Augmentation.mp4 - 28.86 MB
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2. What is Convolution (part 2).mp4 - 24.06 MB
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7. CNN Code Preparation (part 2).mp4 - 23.87 MB
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8. CNN Code Preparation (part 3).mp4 - 20.02 MB
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12. Batch Normalization.mp4 - 14.71 MB
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5. CNN Architecture.srt - 27.77 KB
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6. CNN Code Preparation (part 1).srt - 24.46 KB
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1. What is Convolution (part 1).srt - 21.17 KB
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4. Convolution on Color Images.srt - 21.01 KB
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9. CNN for Fashion MNIST.srt - 13.4 KB
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13. Improving CIFAR-10 Results.srt - 12.79 KB
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11. Data Augmentation.srt - 12.52 KB
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7. CNN Code Preparation (part 2).srt - 10.43 KB
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10. CNN for CIFAR-10.srt - 8.94 KB
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3. What is Convolution (part 3).srt - 8.07 KB
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2. What is Convolution (part 2).srt - 7.23 KB
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8. CNN Code Preparation (part 3).srt - 7.18 KB
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12. Batch Normalization.srt - 6.57 KB
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12. Deep Reinforcement Learning (Theory)
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2. Elements of a Reinforcement Learning Problem.mp4 - 64.68 MB
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9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 - 55.52 MB
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8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 - 45.85 MB
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14. How to Learn Reinforcement Learning.mp4 - 45.5 MB
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11. Q-Learning.mp4 - 42.33 MB
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12. Deep Q-Learning DQN (pt 1).mp4 - 39.28 MB
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13. Deep Q-Learning DQN (pt 2).mp4 - 33.45 MB
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7. What does it mean to “learn”.mp4 - 31.65 MB
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4. Markov Decision Processes (MDPs).mp4 - 31.37 MB
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1. Deep Reinforcement Learning Section Introduction.mp4 - 29.43 MB
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6. Value Functions and the Bellman Equation.mp4 - 28.94 MB
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3. States, Actions, Rewards, Policies.mp4 - 28.11 MB
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10. Epsilon-Greedy.mp4 - 23.43 MB
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5. The Return.mp4 - 14.28 MB
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2. Elements of a Reinforcement Learning Problem.srt - 26.23 KB
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11. Q-Learning.srt - 17.91 KB
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12. Deep Q-Learning DQN (pt 1).srt - 16.43 KB
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9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt - 15.46 KB
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13. Deep Q-Learning DQN (pt 2).srt - 13.21 KB
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8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt - 12.87 KB
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4. Markov Decision Processes (MDPs).srt - 12.65 KB
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6. Value Functions and the Bellman Equation.srt - 12.51 KB
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3. States, Actions, Rewards, Policies.srt - 11.32 KB
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7. What does it mean to “learn”.srt - 8.92 KB
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1. Deep Reinforcement Learning Section Introduction.srt - 8.6 KB
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14. How to Learn Reinforcement Learning.srt - 7.62 KB
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10. Epsilon-Greedy.srt - 7.42 KB
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5. The Return.srt - 6.26 KB
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22. Appendix FAQ Finale
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2. BONUS.mp4 - 64.61 MB
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1. What is the Appendix.mp4 - 10.15 MB
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2. BONUS.srt - 7.82 KB
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1. What is the Appendix.srt - 3.75 KB
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2. Getting Set Up
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2. How to use Github & Extra Coding Tips (Optional).mp4 - 63.92 MB
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5. Temporary 403 Errors.mp4 - 33.6 MB
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1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 - 28.92 MB
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3. Where to get the code, notebooks, and data.mp4 - 17.76 MB
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4. How to Succeed in This Course.mp4 - 16.23 MB
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2. How to use Github & Extra Coding Tips (Optional).srt - 15.71 KB
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1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt - 11.99 KB
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4. How to Succeed in This Course.srt - 4.44 KB
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3. Where to get the code, notebooks, and data.srt - 4.29 KB
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5. Temporary 403 Errors.srt - 3.71 KB
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1.1 Data Links.html - 157 B
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3.2 Data Links.html - 157 B
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1.2 Github Link.html - 140 B
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3.3 Github Link.html - 140 B
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3.1 Code Link.html - 125 B
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15. VIP Facial Recognition
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7. Generating Generators.mp4 - 60.31 MB
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4. Loading in the data.mp4 - 48.89 MB
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9. Accuracy and imbalanced classes.mp4 - 45.7 MB
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6. Converting the data into pairs.mp4 - 41.64 MB
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2. Siamese Networks.mp4 - 31.4 MB
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8. Creating the model and loss.mp4 - 26.74 MB
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5. Splitting the data into train and test.mp4 - 22.59 MB
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3. Code Outline.mp4 - 14.24 MB
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1. Facial Recognition Section Introduction.mp4 - 13.8 MB
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10. Facial Recognition Section Summary.mp4 - 11.28 MB
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2. Siamese Networks.srt - 12.81 KB
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9. Accuracy and imbalanced classes.srt - 9.52 KB
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4. Loading in the data.srt - 6.89 KB
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3. Code Outline.srt - 5.82 KB
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6. Converting the data into pairs.srt - 5.79 KB
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7. Generating Generators.srt - 5.73 KB
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8. Creating the model and loss.srt - 5.38 KB
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5. Splitting the data into train and test.srt - 5.09 KB
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1. Facial Recognition Section Introduction.srt - 4.58 KB
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10. Facial Recognition Section Summary.srt - 4.39 KB
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17. In-Depth Gradient Descent
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5. Adam (pt 1).mp4 - 55.12 MB
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6. Adam (pt 2).mp4 - 42.27 MB
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3. Momentum.mp4 - 28.72 MB
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2. Stochastic Gradient Descent.mp4 - 28.04 MB
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4. Variable and Adaptive Learning Rates.mp4 - 27.43 MB
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1. Gradient Descent.mp4 - 23.84 MB
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5. Adam (pt 1).srt - 16.67 KB
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4. Variable and Adaptive Learning Rates.srt - 15.15 KB
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6. Adam (pt 2).srt - 14.48 KB
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1. Gradient Descent.srt - 9.77 KB
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3. Momentum.srt - 7.84 KB
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2. Stochastic Gradient Descent.srt - 5.4 KB
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1. Introduction
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2. Overview and Outline.mp4 - 48.27 MB
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1. Welcome.mp4 - 28.87 MB
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2. Overview and Outline.srt - 17.74 KB
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1. Welcome.srt - 5.7 KB
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14. VIP Uncertainty Estimation
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2. Estimating Prediction Uncertainty Code.mp4 - 35 MB
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1. Custom Loss and Estimating Prediction Uncertainty.mp4 - 28.31 MB
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1. Custom Loss and Estimating Prediction Uncertainty.srt - 12.78 KB
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2. Estimating Prediction Uncertainty Code.srt - 8.82 KB
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16. In-Depth Loss Functions
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1. Mean Squared Error.mp4 - 24.25 MB
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3. Categorical Cross Entropy.mp4 - 22.6 MB
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2. Binary Cross Entropy.mp4 - 14.97 MB
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1. Mean Squared Error.srt - 11.21 KB
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3. Categorical Cross Entropy.srt - 9.62 KB
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2. Binary Cross Entropy.srt - 7.26 KB
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18. Extras
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1. Where Are The Exercises.mp4 - 19.7 MB
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1. Where Are The Exercises.srt - 5.41 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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| Trackers | Seeders | Leechers | Downloads |
|---|
InfoHash:
5F97FDEF68473823BAF67C0CFB8F1CDBD1073E0F
Last updated:
Dec 26, 2023
File count:
327 B
File Category:
1
Tags:
freecoursesite, udemy, pytorch, deep, learning, artificial, intelligence