From the preceding discussion, we have seen that the key components in a neural network are:
- Hidden layers
- Activation in a hidden layer
- Loss function
Along with these, there are a few other key components in a neural network. However, we will learn about them in a later section.
For now, we will build a neural network model with the given toy dataset in Keras, with the knowledge we've gained in the sections so far:
Import the relevant functions:
The sequential model is a linear stack of layers (input, hidden, and output).
Within each layer, dense helps in implementing the operations specified ...
