1. Introduction to Deep Learning

2. Fundamentals of Artificial Neural Networks/Deep Neural Networks

3. Fundamentals of CNN

4. Example of CNN

5. Variants of CNN

6. Recurrent Neural Network (RNN)

7. LSTM and Its Variants

8. Transformers

9. Autoencoders

10. Deep Learning Frameworks

First Test