What is an input layer?
The layer of a neural network that holds the feature vector.
input layer explained in plain English
The layer of a neural network that holds the feature vector. That is, the input layer provides examples for training or inference. For example, the input layer in the following neural network consists of two features:
Example
Practitioners refer to input layer when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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