Model Initialization
Learn about the input and output layers of a neural network.
We'll cover the following...
Chapter Goals:
- Define a class for an MLP model
- Initialize the model
A. Placeholder
When building the computation graph of our model, tf.compat.v1.placeholder acts as a "placeholder" for the input data and labels. Without the tf.compat.v1.placeholder, we would not be able to train our model on real input data.
A tf.compat.v1.placeholder takes in a required first argument and two keyword arguments called shape and name.
The required argument for the placeholder is its ...
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