Model Layers
We'll cover the following...
Chapter Goals:
- Create the generalizable function for the MLP model’s layers
A. MLP architecture
Our project’s model follows the standard MLP architecture. This means that it is made up of multiple fully-connected layers, where each hidden layer uses ReLU activation and the final layer uses no activation. The input layer for the MLP consists of a batch of data observations from the input pipeline (more on this later).
The architecture of the MLP model used for sales predictions.
Larger models (i.e. more hidden layers and nodes) have higher potential to make more ...