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 ...

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