Python: Real World Machine Learning

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 ...