Chapter 4. Neural Networks and Deep Learning
In this chapter, we will cover one of the most exciting fields in artificial intelligence and machine learning: Deep Learning. This chapter will walk through the most important concepts necessary to apply deep learning effectively. The topics that we will cover in this chapter are as follows:
- Essential neural network theory
- Running neural networks on the GPU or CPU
- Parameter tuning for neural networks
- Large scale deep learning on H2O
- Deep learning with autoencoders (pretraining)
Deep learning emerged from the subfield of artificial intelligence that developed neural networks. Strictly speaking, any large neural network can be considered deep-learning. However, recent developments in deep architectures require ...
Get Large Scale Machine Learning with Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
