1. Basics of Artificial Intelligence and Machine Learning
  2. Introduction to Deep Learning with Python
  3. Intuition of Neural Networks
  4. Convolutional Neural Networks
  5. Localization and Object Detection
  6. Sequence Modeling in Neural Networks and Recurrent Neural Networks (RNN)
  7. Gated Recurrent Unit, Long Short-Term Memory, and Siamese Networks
  8. Generative Adversarial Networks