Book Content
chapters • 10h44m total length
1. The Apache Spark Ecosystem
2. Deep Learning Basics
3. Extract, Transform, Load
4. Streaming
5. Convolutional Neural Networks
6. Recurrent Neural Networks
7. Training Neural Networks with Spark
8. Monitoring and Debugging Neural Network Training
9. Interpreting Neural Network Output
10. Deploying on a Distributed System
11. NLP Basics
12. Textual Analysis and Deep Learning
13. Convolution
14. Image Classification
15. What’s Next for Deep Learning?
