Course curriculum
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Instructor Introduction
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Why CNN
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Focus of the Course
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Gray Scale Images
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6. Gray Scale Images
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Gray Scale Images Quiz
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Gray Scale Images Solution
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RGB Images
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9. RGB Images
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RGB Images Quiz
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RGB Images Solution
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Reading and Showing Images in Python
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Reading and Showing Images in Python Quiz
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Reading and Showing Images in Python Solution
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Converting an Image to Grayscale in Python
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Converting an Image to Grayscale in Python Quiz
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Converting an Image to Grayscale in Python Solution
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Image Formation
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18. Image Formation
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Image Formation Quiz
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Image Formation Solution
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Image Blurring 1
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21. Image Blurring 1
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Image Blurring 1 Quiz
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Image Blurring 1 Solution
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Image Blurring 2
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Image Blurring 2 Quiz
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Image Blurring 2 Solution
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General Image Filtering
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27. General Image Filtering
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Convolution
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28. Convolution
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Edge Detection
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29. Edge Detection
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Image Sharpening
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30. Image Sharpening
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Implementation of Image Blurring Edge Detection Image Sharpening in Python
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Parameteric Shape Detection
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32. PArameteric Shape Detection
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Image Processing Activity
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Image Processing Activity Solution
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Introduction to Object Detection
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35. Introduction to Object Detection
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Classification PipleLine
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36. Classification PipleLine
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Classification PipleLine Quiz
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Classification PipleLine Solution
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Sliding Window Implementation
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39. Sliding Window Implementation
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Shift Scale Rotation Invariance
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Shift Scale Rotation Invariance Exercise
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Person Detection
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42. Person Detection
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HOG Features
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43. HOG Features
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HOG Features Exercise
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Hand Engineering vs CNNs
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45. Hand Engineering vs CNNs
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Object Detection Activity
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Neuron and Perceptron
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DNN Architecture
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DNN Architecture Quiz
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DNN Architecture Solution
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FeedForward FullyConnected MLP
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Calculating Number of Weights of DNN
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Calculating Number of Weights of DNN Quiz
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Calculating Number of Weights of DNN Solution
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Number of Nuerons vs Number of Layers
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Discriminative vs Generative Learning
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Universal Approximation Therorem
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Why Depth
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Decision Boundary in DNN
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Decision Boundary in DNN Quiz
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Decision Boundary in DNN Solution
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BiasTerm
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BiasTerm Quiz
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BiasTerm Solution
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Activation Function
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Activation Function Quiz
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Activation Function Solution
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DNN Training Parameters
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DNN Training Parameters Quiz
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DNN Training Parameters Solution
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Gradient Descent
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BackPropagation
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Training DNN Animantion
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Weigth Initialization
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Weigth Initialization Quiz
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Weigth Initialization Solution
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Batch miniBatch Stocastic Gradient Descent
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Batch Normalization
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Rprop and Momentum
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Rprop and Momentum Quiz
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Rprop and Momentum Solution
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Convergence Animation
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DropOut, Early Stopping and Hyperparameters
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DropOut, Early Stopping and Hyperparameters Quiz
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DropOut, Early Stopping and Hyperparameters Solution
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Convolution Revisited
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Implementing Convolution in Python Revisited
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Why Convolution
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Filters Padding Strides
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89. Filters Padding Strides
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Padding Image
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Pooling Tensors
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91. Pooling Tensors
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CNN Example
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Convolution and Pooling Details
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Maxpooling Exercise
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NonVectorized Implementations of Conv2d and Pool2d
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Deep Neural Network Architecture Activity
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Example Setup
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Why Derivaties
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Why Derivaties Quiz
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Why Derivaties Solution
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What is Chain Rule
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Applying Chain Rule
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Gradients of MaxPooling Layer
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Gradients of MaxPooling Layer Quiz
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Gradients of MaxPooling Layer Solution
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Gradients of Convolutional Layer
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Extending To Multiple Filters
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Extending to Multiple Layers
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Extending to Multiple Layers Quiz
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Extending to Multiple Layers Solution
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Implementation in Numpy ForwardPass
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Implementation in Numpy BackwardPass 1
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Implementation in Numpy BackwardPass 2
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Implementation in Numpy BackwardPass 3
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Implementation in Numpy BackwardPass 4
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Implementation in Numpy BackwardPass 5
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Gradient Descent in CNNs Activity
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About this course
- $199.99
- 174 lessons
- 18 hours of video content