Deep Learning with R

This chapter will build a foundation for neural networks followed by deep learning foundation and trends. We will cover the following topics:

• Starting with logistic regression
• Introducing the dataset
• Performing logistic regression using H2O
• Performing logistic regression using TensorFlow
• Visualizing TensorFlow graphs
• Starting with multilayer perceptrons
• Setting up a neural network using H2O
• Tuning hyper-parameters using grid searches in H2O
• Setting up a neural network using MXNet
• Setting up a neural network using TensorFlow