In this chapter, we went through a basic explanation of neural networks and and the need for multi-layer neural networks. We also covered the TensorFlow computational graph model with some basic examples, such as linear regression and logistic regression.
Next up, we will go through more advanced examples and demonstrate how TensorFlow can be used to build something like handwritten character recognition. We will also tackle the core idea of architecture engineering that has replaced feature engineering in traditional machine learning.
