4.Which layer in the model applies the relu activation function?
Question
4.Which layer in the model applies the relu activation function?
Solution
The layer in the model that applies the relu activation function is typically the hidden layer(s). Here's a step-by-step explanation:
- The input layer receives the raw data and passes it to the hidden layer.
- The hidden layer applies the weights and biases to the inputs and then applies the relu activation function. The relu (Rectified Linear Unit) function is used to add non-linearity to the network. It outputs the input directly if it is positive, otherwise, it outputs zero.
- The output of the hidden layer is then passed to the output layer.
Please note that the specific layer can vary depending on the architecture of the model. In some models, the relu function might be applied in different layers or multiple times.
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