Course curriculum

    1. Instructor Introduction

    2. Why CNN

    3. Focus of the Course

    1. Gray Scale Images

    2. 6. Gray Scale Images

    3. Gray Scale Images Quiz

    4. Gray Scale Images Solution

    5. RGB Images

    6. 9. RGB Images

    7. RGB Images Quiz

    8. RGB Images Solution

    9. Reading and Showing Images in Python

    10. Reading and Showing Images in Python Quiz

    11. Reading and Showing Images in Python Solution

    12. Converting an Image to Grayscale in Python

    13. Converting an Image to Grayscale in Python Quiz

    14. Converting an Image to Grayscale in Python Solution

    15. Image Formation

    16. 18. Image Formation

    17. Image Formation Quiz

    18. Image Formation Solution

    19. Image Blurring 1

    20. 21. Image Blurring 1

    21. Image Blurring 1 Quiz

    22. Image Blurring 1 Solution

    23. Image Blurring 2

    24. Image Blurring 2 Quiz

    25. Image Blurring 2 Solution

    26. General Image Filtering

    27. 27. General Image Filtering

    28. Convolution

    29. 28. Convolution

    30. Edge Detection

    31. 29. Edge Detection

    32. Image Sharpening

    33. 30. Image Sharpening

    34. Implementation of Image Blurring Edge Detection Image Sharpening in Python

    35. Parameteric Shape Detection

    36. 32. PArameteric Shape Detection

    37. Image Processing Activity

    38. Image Processing Activity Solution

    1. Introduction to Object Detection

    2. 35. Introduction to Object Detection

    3. Classification PipleLine

    4. 36. Classification PipleLine

    5. Classification PipleLine Quiz

    6. Classification PipleLine Solution

    7. Sliding Window Implementation

    8. 39. Sliding Window Implementation

    9. Shift Scale Rotation Invariance

    10. Shift Scale Rotation Invariance Exercise

    11. Person Detection

    12. 42. Person Detection

    13. HOG Features

    14. 43. HOG Features

    15. HOG Features Exercise

    16. Hand Engineering vs CNNs

    17. 45. Hand Engineering vs CNNs

    18. Object Detection Activity

    1. Neuron and Perceptron

    2. DNN Architecture

    3. DNN Architecture Quiz

    4. DNN Architecture Solution

    5. FeedForward FullyConnected MLP

    6. Calculating Number of Weights of DNN

    7. Calculating Number of Weights of DNN Quiz

    8. Calculating Number of Weights of DNN Solution

    9. Number of Nuerons vs Number of Layers

    10. Discriminative vs Generative Learning

    11. Universal Approximation Therorem

    12. Why Depth

    13. Decision Boundary in DNN

    14. Decision Boundary in DNN Quiz

    15. Decision Boundary in DNN Solution

    16. BiasTerm

    17. BiasTerm Quiz

    18. BiasTerm Solution

    19. Activation Function

    20. Activation Function Quiz

    21. Activation Function Solution

    22. DNN Training Parameters

    23. DNN Training Parameters Quiz

    24. DNN Training Parameters Solution

    25. Gradient Descent

    26. BackPropagation

    27. Training DNN Animantion

    28. Weigth Initialization

    29. Weigth Initialization Quiz

    30. Weigth Initialization Solution

    31. Batch miniBatch Stocastic Gradient Descent

    32. Batch Normalization

    33. Rprop and Momentum

    34. Rprop and Momentum Quiz

    35. Rprop and Momentum Solution

    36. Convergence Animation

    37. DropOut, Early Stopping and Hyperparameters

    38. DropOut, Early Stopping and Hyperparameters Quiz

    39. DropOut, Early Stopping and Hyperparameters Solution

    1. Convolution Revisited

    2. Implementing Convolution in Python Revisited

    3. Why Convolution

    4. Filters Padding Strides

    5. 89. Filters Padding Strides

    6. Padding Image

    7. Pooling Tensors

    8. 91. Pooling Tensors

    9. CNN Example

    10. Convolution and Pooling Details

    11. Maxpooling Exercise

    12. NonVectorized Implementations of Conv2d and Pool2d

    13. Deep Neural Network Architecture Activity

    1. Example Setup

    2. Why Derivaties

    3. Why Derivaties Quiz

    4. Why Derivaties Solution

    5. What is Chain Rule

    6. Applying Chain Rule

    7. Gradients of MaxPooling Layer

    8. Gradients of MaxPooling Layer Quiz

    9. Gradients of MaxPooling Layer Solution

    10. Gradients of Convolutional Layer

    11. Extending To Multiple Filters

    12. Extending to Multiple Layers

    13. Extending to Multiple Layers Quiz

    14. Extending to Multiple Layers Solution

    15. Implementation in Numpy ForwardPass

    16. Implementation in Numpy BackwardPass 1

    17. Implementation in Numpy BackwardPass 2

    18. Implementation in Numpy BackwardPass 3

    19. Implementation in Numpy BackwardPass 4

    20. Implementation in Numpy BackwardPass 5

    21. Gradient Descent in CNNs Activity

About this course

  • $199.99
  • 174 lessons
  • 18 hours of video content