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I want to know how I can calculate the output layer from (number of neurons and shape of that) of deep neural network layers. Suppose we have 32 * 32 image input of 2D convolution layer with parameters:

num_filters = 96,
kernel_size = 5,
stride = 1,
pad = 2.

How do I calculate output form or for pooling layer or other layers existing in deep neural networks?

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closed as off-topic by Michael Chernick, Peter Flom Oct 29 '17 at 22:35

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The formulas are in slide 61 of http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture5.pdf. The preceding slides describe how they got the formula

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