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[ FreeCourseWeb.com ] Deep Learning CNN - Convolutional Neural Networks with Python
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[ FreeCourseWeb.com ] Deep Learning CNN - Convolutional Neural Networks with Python
~Get Your Files Here !
Chapter 9 Transfer Learning
005. Project in TensorFlow.mp4
- 149.67 MB
003. ImageNet Challenge.mp4
- 42.58 MB
002. Why Transfer Learning.mp4
- 39.11 MB
004. Practical Tips.mp4
- 22.63 MB
001. What Is Transfer learning.mp4
- 14.93 MB
006. Transfer Learning Activity.mp4
- 4.96 MB
Chapter 12 Neural Style Transfer
001. Problem Setup.mp4
- 110.22 MB
002. Implementation TensorFlow Hub.mp4
- 28.63 MB
003. Thank You and Conclusion.mp4
- 12.31 MB
Chapter 7 Introduction to TensorFlow
002. FashionMNIST Example Plan Neural Network.mp4
- 89.38 MB
003. FashionMNIST Example CNN.mp4
- 88.26 MB
001. Introduction to TensorFlow.mp4
- 17.1 MB
004. Introduction to TensorFlow Activity.mp4
- 4.45 MB
Chapter 1 Introduction to the Course
003. Why CNN.mp4
- 82.84 MB
001. Course Overview.mp4
- 48.8 MB
004. Focus of the Course.mp4
- 13.93 MB
002. Introduction to Instructor.mp4
- 13.68 MB
Chapter 6 Gradient Descent in CNNs
020. Implementation in NumPy BackwardPass 5.mp4
- 80.87 MB
019. Implementation in NumPy BackwardPass 4.mp4
- 49.57 MB
002. Why Derivatives.mp4
- 38.08 MB
010. Gradients of Convolutional Layer.mp4
- 37.61 MB
018. Implementation in NumPy BackwardPass 3.mp4
- 32.59 MB
005. What Is Chain Rule.mp4
- 29.53 MB
015. Implementation in NumPy ForwardPass.mp4
- 29.43 MB
012. Extending to Multiple Layers.mp4
- 25.29 MB
016. Implementation in NumPy BackwardPass 1.mp4
- 24.73 MB
014. Extending to Multiple Layers Solution.mp4
- 24.56 MB
001. Example Setup.mp4
- 23.67 MB
007. Gradients of MaxPooling Layer.mp4
- 23.21 MB
006. Applying Chain Rule.mp4
- 23.01 MB
011. Extending to Multiple Filters.mp4
- 16.04 MB
017. Implementation in NumPy BackwardPass 2.mp4
- 15.48 MB
004. Why Derivatives Solution.mp4
- 8.55 MB
009. Gradients of MaxPooling Layer Solution.mp4
- 3.76 MB
008. Gradients of MaxPooling Layer Quiz.mp4
- 2.59 MB
003. Why Derivatives Quiz.mp4
- 1.65 MB
021. Gradient Descent in CNNs Activity.mp4
- 378.09 KB
Chapter 11 Face Verification
002. Project Implementation.mp4
- 71.52 MB
001. Problem Setup.mp4
- 26.58 MB
003. Face Verification Activity.mp4
- 4.58 MB
Chapter 2 Image Processing
026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4
- 64.42 MB
030. Image Processing Activity Solution.mp4
- 40.35 MB
019. Image Blurring 2.mp4
- 39.06 MB
001. Gray-Scale Images.mp4
- 37.23 MB
007. Reading and Showing Images in Python.mp4
- 36.93 MB
016. Image Blurring 1.mp4
- 36.91 MB
027. Parametric Shape Detection.mp4
- 34.16 MB
010. Converting an Image to Grayscale in Python.mp4
- 29.93 MB
004. RGB Images.mp4
- 29.43 MB
024. Edge Detection.mp4
- 29.17 MB
023. Convolution.mp4
- 22.76 MB
025. Image Sharpening.mp4
- 19.62 MB
022. General Image Filtering.mp4
- 16.63 MB
028. Image Processing.mp4
- 15.08 MB
013. Image Formation.mp4
- 14.47 MB
029. Image Processing Activity.mp4
- 9.67 MB
012. Converting an Image to Grayscale in Python Solution.mp4
- 5.41 MB
021. Image Blurring 2 Solution.mp4
- 5.32 MB
006. RGB Images Solution.mp4
- 5.02 MB
003. Gray-Scale Images Solution.mp4
- 4.91 MB
005. RGB Images Quiz.mp4
- 4.6 MB
015. Image Formation Solution.mp4
- 4.48 MB
011. Converting an Image to Grayscale in Python Quiz.mp4
- 4.43 MB
020. Image Blurring 2 Quiz.mp4
- 4.42 MB
014. Image Formation Quiz.mp4
- 4.33 MB
008. Reading and Showing Images in Python Quiz.mp4
- 4.07 MB
002. Gray-Scale Images Quiz.mp4
- 3.99 MB
018. Image Blurring 1 Solution.mp4
- 3.23 MB
017. Image Blurring 1 Quiz.mp4
- 1.78 MB
009. Reading and Showing Images in Python Solution.mp4
- 607.62 KB
Chapter 5 Deep Neural Network Architecture
010. NonVectorized Implementations of Conv2d and Pool2d.mp4
- 63.89 MB
005. Padding Image.mp4
- 30.9 MB
001. Convolution Revisited.mp4
- 27.06 MB
008. Convolution and Pooling Details.mp4
- 26.97 MB
004. Filters Padding Strides.mp4
- 25.03 MB
007. CNN Example.mp4
- 23 MB
002. Implementing Convolution in Python Revisited.mp4
- 22.62 MB
006. Pooling Tensors.mp4
- 22.42 MB
003. Why Convolution.mp4
- 18.75 MB
009. MaxPooling Exercise.mp4
- 8.82 MB
011. Deep Neural Network Architecture Activity.mp4
- 7.94 MB
Chapter 3 Object Detection
007. Shift Scale Rotation Invariance Exercise.mp4
- 58.64 MB
006. Shift Scale Rotation Invariance.mp4
- 46.04 MB
002. Classification Pipeline.mp4
- 43.89 MB
008. Person Detection.mp4
- 42.15 MB
009. HOG Features.mp4
- 38.04 MB
001. Introduction to Object Detection.mp4
- 35.74 MB
011. Hand Engineering Versus CNNs.mp4
- 30.05 MB
010. HOG Features Exercise.mp4
- 28.57 MB
005. Sliding Window Implementation.mp4
- 24.97 MB
003. Classification Pipeline Quiz.mp4
- 4.22 MB
004. Classification Pipeline Solution.mp4
- 970.89 KB
012. Object Detection Activity.mp4
- 112.34 KB
Chapter 4 Deep Neural Network Overview
033. Rprop and Momentum.mp4
- 57.97 MB
037. DropOut, Early Stopping and Hyperparameters.mp4
- 51.08 MB
001. Neuron and Perceptron.mp4
- 43.63 MB
028. Weight Initialization.mp4
- 41.79 MB
026. Backpropagation.mp4
- 40.28 MB
022. DNN Training Parameters.mp4
- 33.44 MB
036. Convergence Animation.mp4
- 32.24 MB
019. Activation Function.mp4
- 30.36 MB
031. Batch MiniBatch Stochastic Gradient Descent.mp4
- 28.83 MB
011. Universal Approximation Theorem.mp4
- 26.77 MB
009. Number of Neurons Versus Number of Layers.mp4
- 25.11 MB
002. DNN Architecture.mp4
- 22.61 MB
010. Discriminative Versus Generative Learning.mp4
- 22.14 MB
013. Decision Boundary in DNN.mp4
- 22.09 MB
032. Batch Normalization.mp4
- 22.01 MB
025. Gradient Descent.mp4
- 21.52 MB
016. BiasTerm.mp4
- 17.85 MB
027. Training DNN Animation.mp4
- 16.97 MB
005. FeedForward FullyConnected MLP.mp4
- 16.69 MB
006. Calculating Number of Weights of DNN.mp4
- 13.96 MB
012. Why Depth.mp4
- 12.78 MB
004. DNN Architecture Solution.mp4
- 7.13 MB
008. Calculating Number of Weights of DNN Solution.mp4
- 7.08 MB
021. Activation Function Solution.mp4
- 6.27 MB
034. Rprop and Momentum Quiz.mp4
- 5.91 MB
003. DNN Architecture Quiz.mp4
- 5.79 MB
030. Weight Initialization Solution.mp4
- 5.6 MB
014. Decision Boundary in DNN Quiz.mp4
- 5.55 MB
035. Rprop and Momentum Solution.mp4
- 4.65 MB
038. DropOut, Early Stopping and Hyperparameters Quiz.mp4
- 4.56 MB
023. DNN Training Parameters Quiz.mp4
- 4.5 MB
029. Weight Initialization Quiz.mp4
- 4.03 MB
018. BiasTerm Solution.mp4
- 4.02 MB
017. BiasTerm Quiz.mp4
- 3.27 MB
015. Decision Boundary in DNN Solution.mp4
- 1.51 MB
020. Activation Function Quiz.mp4
- 1.37 MB
007. Calculating Number of Weights of DNN Quiz.mp4
- 347.59 KB
Chapter 10 YOLO
006. YOLO Anchor Boxes.mp4
- 41.04 MB
004. YOLO Introduction.mp4
- 34.72 MB
008. YOLO Non-Maxima Suppression.mp4
- 32.63 MB
007. YOLO Algorithm.mp4
- 29.52 MB
002. Sliding Window Object Localization.mp4
- 29.04 MB
003. Sliding Window Efficient Implementation.mp4
- 27.16 MB
005. YOLO Training Data Generation.mp4
- 26.96 MB
001. Image Classification Revisited.mp4
- 20.46 MB
009. RCNN.mp4
- 11.53 MB
010. YOLO Activity.mp4
- 5.26 MB
Chapter 8 Classical CNNs
008. Resnet.mp4
- 31.12 MB
004. AlexNet.mp4
- 30.11 MB
006. InceptionNet.mp4
- 30.02 MB
005. VGG.mp4
- 18.53 MB
007. GoogLeNet.mp4
- 18.38 MB
001. LeNet.mp4
- 14.51 MB
003. LeNet Solution.mp4
- 8.68 MB
009. Classical CNNs Activity.mp4
- 4.85 MB
002. LeNet Quiz.mp4
- 3.76 MB
Bonus Resources.txt
- 386 B
Get Bonus Downloads Here.url
- 183 B
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InfoHash:
F16E4632BA9430B124520DEA9D5DA7715A2A7B63
Last updated:
Jun 2, 2024
File count:
151 B
File Category:
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Tags:
freecourseweb, deep, learning, convolutional, neural, networks, python
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