Book Content
chapters • 16h40m total length
1. Setting up and Securing the Google Cloud Platform
2. Interacting with Google Cloud Platform
3. Google Cloud Storage
4. Querying your data with BigQuery
5. Transforming your data
6. Essential Machine Learning
7. Google Machine Learning APIs
8. Creating Machine Learning Applications with Firebase
9. Implementing a Feedforward network with TensorFlow and Keras
10. Evaluating results with TensorBoard
11. Optimizing your model with HyperTune
12. Preventing Overfitting with regularization
13. Beyond Feedforward networks
14. Time series with LSTMs
15. Reinforcement Learning with Tensorflow
16. Generative neural networks
17. Chatbots
