Book Content
chapters • 10h16m total length
1. Machine Learning and Neural Networks 101
2. Predicting Diabetes with Multilayer Perceptrons
3. Predicting Taxi Fares with Deep Feedforward Networks
4. Cats Versus Dogs - Image Classification Using CNNs
5. Removing Noise from Images Using Autoencoders
6. Sentiment Analysis of Movie Reviews Using LSTM
7. Implementing a Facial Recognition System with Neural Networks
8. What’s Next?














