Model Layers
Explore how to create and configure hidden layers in a multilayer perceptron model using TensorFlow. This lesson guides you through building fully connected layers with ReLU activation and the final output layer, helping you understand the architecture behind sales prediction models and how to implement them effectively.
We'll cover the following...
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 ...