The previous chapter discussed various terminology related to Machine Learning and some of the metrics used to check the accuracy of the model. This chapter discusses the concepts of neural networks.
This chapter begins by explaining artificial neural networks and their components. It covers some of these components in detail, like activation functions, layers, etc. It then covers some of the advanced architectures of neural networks, like convolutional neural networks, recurrent ...