Table of Contents

  1. An Introduction to Deep Learning
  2. Supervised Learning
  3. Gradient Descent
  4. OpenCV with Python
  5. Python Imaging Library and Pillow
  6. Introduction to Convolutional Neural Networks
  7. GoogLeNet, VGGNet, and ResNet
  8. Understanding Object Detection
  9. Popular Algorithms for Object Detection
  10. Faster RCNN with PyTorch and YoloV4 with Darknet
  11. Comparing Algorithms and API Deployment with Flask
  12. Applications in Real World