Neural Networks with R

Summary

In this chapter, we saw an overview of ANNs. Neural networks implementation is simple, but the internals are pretty complex. We can summarize neural network as a universal mathematical function approximation. Any set of inputs which produce outputs can be made a black box mathematical function through a neural network, and the applications are enormous in the recent years.

We saw the following in this chapter:

• Neural network is a machine learning technique and is data-driven
• AI, machine learning, and neural networks are different paradigms of making machines work like humans
• Neural networks can be used for both supervised and unsupervised machine learning
• Weights, biases, and activation functions are important concepts in neural ...