Table of Contents
- Data science: Bird's-eye view
- Data Modeling in Action - The Titanic Example
- Feature Engineering and Model Complexity
- Get Up and Running with TensorFlow
- Tensorflow in Action - Some Basic Examples
- Deep Feed-forward Neural Networks - Implementing Digit Classification
- Introduction to Convolutional Neural Networks
- Object Detection
- Object Detection
- Recurrent-Type Neural Networks - Language modeling
- Representation Learning - Implementing Word Embeddings
- Neural sentiment Analysis
- Autoencoders
- Generative Adversarial Networks in Action - Generating New Images
- Face Generation and Handling Missing Labels
- Appendix - Implementing Fish Recognition

