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[ FreeCourseWeb com ] Deep Learning CNN - Convolutional Neural Networks with Python
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Chapter 1 Introduction to the Course
001. Course Overview.mp4
002. Introduction to Instructor.mp4
003. Why CNN.mp4
004. Focus of the Course.mp4
Chapter 10 YOLO
001. Image Classification Revisited.mp4
002. Sliding Window Object Localization.mp4
003. Sliding Window Efficient Implementation.mp4
004. YOLO Introduction.mp4
005. YOLO Training Data Generation.mp4
006. YOLO Anchor Boxes.mp4
007. YOLO Algorithm.mp4
008. YOLO Non-Maxima Suppression.mp4
009. RCNN.mp4
010. YOLO Activity.mp4
Chapter 11 Face Verification
001. Problem Setup.mp4
002. Project Implementation.mp4
003. Face Verification Activity.mp4
Chapter 12 Neural Style Transfer
001. Problem Setup.mp4
002. Implementation TensorFlow Hub.mp4
003. Thank You and Conclusion.mp4
Chapter 2 Image Processing
001. Gray-Scale Images.mp4
002. Gray-Scale Images Quiz.mp4
003. Gray-Scale Images Solution.mp4
004. RGB Images.mp4
005. RGB Images Quiz.mp4
006. RGB Images Solution.mp4
007. Reading and Showing Images in Python.mp4
008. Reading and Showing Images in Python Quiz.mp4
009. Reading and Showing Images in Python Solution.mp4
010. Converting an Image to Grayscale in Python.mp4
011. Converting an Image to Grayscale in Python Quiz.mp4
012. Converting an Image to Grayscale in Python Solution.mp4
013. Image Formation.mp4
014. Image Formation Quiz.mp4
015. Image Formation Solution.mp4
016. Image Blurring 1.mp4
017. Image Blurring 1 Quiz.mp4
018. Image Blurring 1 Solution.mp4
019. Image Blurring 2.mp4
020. Image Blurring 2 Quiz.mp4
021. Image Blurring 2 Solution.mp4
022. General Image Filtering.mp4
023. Convolution.mp4
024. Edge Detection.mp4
025. Image Sharpening.mp4
026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4
027. Parametric Shape Detection.mp4
028. Image Processing.mp4
029. Image Processing Activity.mp4
030. Image Processing Activity Solution.mp4
Chapter 3 Object Detection
001. Introduction to Object Detection.mp4
002. Classification Pipeline.mp4
003. Classification Pipeline Quiz.mp4
004. Classification Pipeline Solution.mp4
005. Sliding Window Implementation.mp4
006. Shift Scale Rotation Invariance.mp4
007. Shift Scale Rotation Invariance Exercise.mp4
008. Person Detection.mp4
009. HOG Features.mp4
010. HOG Features Exercise.mp4
011. Hand Engineering Versus CNNs.mp4
012. Object Detection Activity.mp4
Chapter 4 Deep Neural Network Overview
001. Neuron and Perceptron.mp4
002. DNN Architecture.mp4
003. DNN Architecture Quiz.mp4
004. DNN Architecture Solution.mp4
005. FeedForward FullyConnected MLP.mp4
006. Calculating Number of Weights of DNN.mp4
007. Calculating Number of Weights of DNN Quiz.mp4
008. Calculating Number of Weights of DNN Solution.mp4
009. Number of Neurons Versus Number of Layers.mp4
010. Discriminative Versus Generative Learning.mp4
011. Universal Approximation Theorem.mp4
012. Why Depth.mp4
013. Decision Boundary in DNN.mp4
014. Decision Boundary in DNN Quiz.mp4
015. Decision Boundary in DNN Solution.mp4
016. BiasTerm.mp4
017. BiasTerm Quiz.mp4
018. BiasTerm Solution.mp4
019. Activation Function.mp4
020. Activation Function Quiz.mp4
021. Activation Function Solution.mp4
022. DNN Training Parameters.mp4
023. DNN Training Parameters Quiz.mp4
024. DNN Training Parameters Solution.mp4
025. Gradient Descent.mp4
026. Backpropagation.mp4
027. Training DNN Animation.mp4
028. Weight Initialization.mp4
029. Weight Initialization Quiz.mp4
030. Weight Initialization Solution.mp4
031. Batch MiniBatch Stochastic Gradient Descent.mp4
032. Batch Normalization.mp4
033. Rprop and Momentum.mp4
034. Rprop and Momentum Quiz.mp4
035. Rprop and Momentum Solution.mp4
036. Convergence Animation.mp4
037. DropOut, Early Stopping and Hyperparameters.mp4
038. DropOut, Early Stopping and Hyperparameters Quiz.mp4
039. DropOut, Early Stopping and Hyperparameters Solution.mp4
Chapter 5 Deep Neural Network Architecture
001. Convolution Revisited.mp4
002. Implementing Convolution in Python Revisited.mp4
003. Why Convolution.mp4
004. Filters Padding Strides.mp4
005. Padding Image.mp4
006. Pooling Tensors.mp4
007. CNN Example.mp4
008. Convolution and Pooling Details.mp4
009. MaxPooling Exercise.mp4
010. NonVectorized Implementations of Conv2d and Pool2d.mp4
011. Deep Neural Network Architecture Activity.mp4
Chapter 6 Gradient Descent in CNNs
001. Example Setup.mp4
002. Why Derivatives.mp4
003. Why Derivatives Quiz.mp4
004. Why Derivatives Solution.mp4
005. What Is Chain Rule.mp4
006. Applying Chain Rule.mp4
007. Gradients of MaxPooling Layer.mp4
008. Gradients of MaxPooling Layer Quiz.mp4
009. Gradients of MaxPooling Layer Solution.mp4
010. Gradients of Convolutional Layer.mp4
011. Extending to Multiple Filters.mp4
012. Extending to Multiple Layers.mp4
013. Extending to Multiple Layers Quiz.mp4
014. Extending to Multiple Layers Solution.mp4
015. Implementation in NumPy ForwardPass.mp4
016. Implementation in NumPy BackwardPass 1.mp4
017. Implementation in NumPy BackwardPass 2.mp4
018. Implementation in NumPy BackwardPass 3.mp4
019. Implementation in NumPy BackwardPass 4.mp4
020. Implementation in NumPy BackwardPass 5.mp4
021. Gradient Descent in CNNs Activity.mp4
Chapter 7 Introduction to TensorFlow
001. Introduction to TensorFlow.mp4
002. FashionMNIST Example Plan Neural Network.mp4
003. FashionMNIST Example CNN.mp4
004. Introduction to TensorFlow Activity.mp4
Chapter 8 Classical CNNs
001. LeNet.mp4
002. LeNet Quiz.mp4
003. LeNet Solution.mp4
004. AlexNet.mp4
005. VGG.mp4
006. InceptionNet.mp4
007. GoogLeNet.mp4
008. Resnet.mp4
009. Classical CNNs Activity.mp4
Chapter 9 Transfer Learning
001. What Is Transfer learning.mp4
002. Why Transfer Learning.mp4
003. ImageNet Challenge.mp4
004. Practical Tips.mp4
005. Project in TensorFlow.mp4
006. Transfer Learning Activity.mp4
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