Grokking Machine Learning

10 Combining building blocks to gain more power: Neural networks

In this chapter

• what is a neural network
• the architecture of a neural network: nodes, layers, depth, and activation functions
• training neural networks using backpropagation
• potential problems in training neural networks, such as the vanishing gradient problem and overfitting
• techniques to improve neural network training, such as regularization and dropout
• using Keras to train neural networks for sentiment analysis and image classification
• using neural networks as regression models

In this chapter, we learn neural networks, also called multilayer perceptrons. Neural networks are ...