Table of Contents:
- Table of Contents Data science: Bird's-eye view Data Modeling in Action
- The Titanic Example Feature Engineering and Model Complexity
- The Titanic Example Revisited 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
- CIFAR-10 Example Object Detection
- Transfer Learning with CNNs Recurrent-Type Neural Networks
- Language modeling Representation Learning
- Implementing Word Embeddings Neural sentiment Analysis Autoencoders
- Feature Extraction and Denoising Generative Adversarial Networks in Action
- Generating New Images Face Generation and Handling Missing Labels Appendix
- Implementing Fish Recognition.
