The content of each notebook is as follows:
- Linear Regression
- Logistic Regression 3A. Multiclass Classification 3B. Backpropagation on Multiclass Classification problems
- Deep Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks and LSTM
- Autoencoders
The last notebook is the final project, where the Autoencoder is enhanced.