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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

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0.2 KB

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Bonus Resources.txt

0.4 KB

/.../Chapter 1 Introduction to the Course/

001. Course Overview.mp4

51.2 MB

002. Introduction to Instructor.mp4

14.3 MB

003. Why CNN.mp4

86.9 MB

004. Focus of the Course.mp4

23.0 MB

/.../Chapter 10 YOLO/

001. Image Classification Revisited.mp4

21.4 MB

002. Sliding Window Object Localization.mp4

35.8 MB

003. Sliding Window Efficient Implementation.mp4

28.5 MB

004. YOLO Introduction.mp4

36.4 MB

005. YOLO Training Data Generation.mp4

28.3 MB

006. YOLO Anchor Boxes.mp4

45.7 MB

007. YOLO Algorithm.mp4

31.0 MB

008. YOLO Non-Maxima Suppression.mp4

34.2 MB

009. RCNN.mp4

13.0 MB

010. YOLO Activity.mp4

5.5 MB

/.../Chapter 11 Face Verification/

001. Problem Setup.mp4

31.4 MB

002. Project Implementation.mp4

75.0 MB

003. Face Verification Activity.mp4

4.8 MB

/.../Chapter 12 Neural Style Transfer/

001. Problem Setup.mp4

118.3 MB

002. Implementation TensorFlow Hub.mp4

44.7 MB

003. Thank You and Conclusion.mp4

12.9 MB

/.../Chapter 2 Image Processing/

001. Gray-Scale Images.mp4

39.0 MB

002. Gray-Scale Images Quiz.mp4

4.4 MB

003. Gray-Scale Images Solution.mp4

5.1 MB

004. RGB Images.mp4

31.9 MB

005. RGB Images Quiz.mp4

4.8 MB

006. RGB Images Solution.mp4

5.3 MB

007. Reading and Showing Images in Python.mp4

39.6 MB

008. Reading and Showing Images in Python Quiz.mp4

4.3 MB

009. Reading and Showing Images in Python Solution.mp4

4.6 MB

010. Converting an Image to Grayscale in Python.mp4

31.4 MB

011. Converting an Image to Grayscale in Python Quiz.mp4

4.6 MB

012. Converting an Image to Grayscale in Python Solution.mp4

5.7 MB

013. Image Formation.mp4

20.3 MB

014. Image Formation Quiz.mp4

4.7 MB

015. Image Formation Solution.mp4

4.7 MB

016. Image Blurring 1.mp4

47.8 MB

017. Image Blurring 1 Quiz.mp4

5.3 MB

018. Image Blurring 1 Solution.mp4

4.8 MB

019. Image Blurring 2.mp4

41.0 MB

020. Image Blurring 2 Quiz.mp4

4.6 MB

021. Image Blurring 2 Solution.mp4

5.6 MB

022. General Image Filtering.mp4

20.1 MB

023. Convolution.mp4

23.9 MB

024. Edge Detection.mp4

30.6 MB

025. Image Sharpening.mp4

20.6 MB

026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4

68.2 MB

027. Parametric Shape Detection.mp4

35.8 MB

028. Image Processing.mp4

15.8 MB

029. Image Processing Activity.mp4

11.4 MB

030. Image Processing Activity Solution.mp4

46.7 MB

/.../Chapter 3 Object Detection/

001. Introduction to Object Detection.mp4

37.5 MB

002. Classification Pipeline.mp4

46.0 MB

003. Classification Pipeline Quiz.mp4

4.4 MB

004. Classification Pipeline Solution.mp4

5.4 MB

005. Sliding Window Implementation.mp4

26.2 MB

006. Shift Scale Rotation Invariance.mp4

49.3 MB

007. Shift Scale Rotation Invariance Exercise.mp4

61.5 MB

008. Person Detection.mp4

45.2 MB

009. HOG Features.mp4

39.9 MB

010. HOG Features Exercise.mp4

30.0 MB

011. Hand Engineering Versus CNNs.mp4

31.5 MB

012. Object Detection Activity.mp4

19.4 MB

/.../Chapter 4 Deep Neural Network Overview/

001. Neuron and Perceptron.mp4

46.7 MB

002. DNN Architecture.mp4

28.6 MB

003. DNN Architecture Quiz.mp4

6.1 MB

004. DNN Architecture Solution.mp4

7.5 MB

005. FeedForward FullyConnected MLP.mp4

17.5 MB

006. Calculating Number of Weights of DNN.mp4

23.5 MB

007. Calculating Number of Weights of DNN Quiz.mp4

4.7 MB

008. Calculating Number of Weights of DNN Solution.mp4

7.4 MB

009. Number of Neurons Versus Number of Layers.mp4

26.3 MB

010. Discriminative Versus Generative Learning.mp4

23.7 MB

011. Universal Approximation Theorem.mp4

32.9 MB

012. Why Depth.mp4

13.4 MB

013. Decision Boundary in DNN.mp4

23.2 MB

014. Decision Boundary in DNN Quiz.mp4

6.3 MB

015. Decision Boundary in DNN Solution.mp4

13.5 MB

016. BiasTerm.mp4

30.2 MB

017. BiasTerm Quiz.mp4

4.7 MB

018. BiasTerm Solution.mp4

5.8 MB

019. Activation Function.mp4

31.8 MB

020. Activation Function Quiz.mp4

4.9 MB

021. Activation Function Solution.mp4

6.6 MB

022. DNN Training Parameters.mp4

39.0 MB

023. DNN Training Parameters Quiz.mp4

4.8 MB

024. DNN Training Parameters Solution.mp4

5.1 MB

025. Gradient Descent.mp4

30.4 MB

026. Backpropagation.mp4

42.2 MB

027. Training DNN Animation.mp4

23.5 MB

028. Weight Initialization.mp4

47.2 MB

029. Weight Initialization Quiz.mp4

4.8 MB

030. Weight Initialization Solution.mp4

5.9 MB

031. Batch MiniBatch Stochastic Gradient Descent.mp4

35.8 MB

032. Batch Normalization.mp4

23.1 MB

033. Rprop and Momentum.mp4

60.8 MB

034. Rprop and Momentum Quiz.mp4

6.3 MB

035. Rprop and Momentum Solution.mp4

6.8 MB

036. Convergence Animation.mp4

33.8 MB

037. DropOut, Early Stopping and Hyperparameters.mp4

53.6 MB

038. DropOut, Early Stopping and Hyperparameters Quiz.mp4

6.0 MB

039. DropOut, Early Stopping and Hyperparameters Solution.mp4

8.9 MB

/.../Chapter 5 Deep Neural Network Architecture/

001. Convolution Revisited.mp4

28.5 MB

002. Implementing Convolution in Python Revisited.mp4

26.9 MB

003. Why Convolution.mp4

23.0 MB

004. Filters Padding Strides.mp4

29.3 MB

005. Padding Image.mp4

32.4 MB

006. Pooling Tensors.mp4

23.5 MB

007. CNN Example.mp4

24.1 MB

008. Convolution and Pooling Details.mp4

28.3 MB

009. MaxPooling Exercise.mp4

12.2 MB

010. NonVectorized Implementations of Conv2d and Pool2d.mp4

72.6 MB

011. Deep Neural Network Architecture Activity.mp4

8.3 MB

/.../Chapter 6 Gradient Descent in CNNs/

001. Example Setup.mp4

24.8 MB

002. Why Derivatives.mp4

40.8 MB

003. Why Derivatives Quiz.mp4

5.6 MB

004. Why Derivatives Solution.mp4

11.5 MB

005. What Is Chain Rule.mp4

31.0 MB

006. Applying Chain Rule.mp4

40.4 MB

007. Gradients of MaxPooling Layer.mp4

35.5 MB

008. Gradients of MaxPooling Layer Quiz.mp4

6.1 MB

009. Gradients of MaxPooling Layer Solution.mp4

8.6 MB

010. Gradients of Convolutional Layer.mp4

39.9 MB

011. Extending to Multiple Filters.mp4

16.8 MB

012. Extending to Multiple Layers.mp4

28.8 MB

013. Extending to Multiple Layers Quiz.mp4

8.2 MB

014. Extending to Multiple Layers Solution.mp4

27.4 MB

015. Implementation in NumPy ForwardPass.mp4

32.2 MB

016. Implementation in NumPy BackwardPass 1.mp4

26.2 MB

017. Implementation in NumPy BackwardPass 2.mp4

17.9 MB

018. Implementation in NumPy BackwardPass 3.mp4

34.2 MB

019. Implementation in NumPy BackwardPass 4.mp4

52.0 MB

020. Implementation in NumPy BackwardPass 5.mp4

84.8 MB

021. Gradient Descent in CNNs Activity.mp4

8.1 MB

/.../Chapter 7 Introduction to TensorFlow/

001. Introduction to TensorFlow.mp4

30.9 MB

002. FashionMNIST Example Plan Neural Network.mp4

93.7 MB

003. FashionMNIST Example CNN.mp4

99.9 MB

004. Introduction to TensorFlow Activity.mp4

5.2 MB

/.../Chapter 8 Classical CNNs/

001. LeNet.mp4

22.8 MB

002. LeNet Quiz.mp4

6.5 MB

003. LeNet Solution.mp4

9.1 MB

004. AlexNet.mp4

33.9 MB

005. VGG.mp4

19.9 MB

006. InceptionNet.mp4

31.5 MB

007. GoogLeNet.mp4

19.3 MB

008. Resnet.mp4

32.9 MB

009. Classical CNNs Activity.mp4

5.1 MB

/.../Chapter 9 Transfer Learning/

001. What Is Transfer learning.mp4

27.6 MB

002. Why Transfer Learning.mp4

41.0 MB

003. ImageNet Challenge.mp4

44.7 MB

004. Practical Tips.mp4

23.8 MB

005. Project in TensorFlow.mp4

156.9 MB

006. Transfer Learning Activity.mp4

5.2 MB

 

Total files 154


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