neural-network – Page 4

What does tf.nn.conv2d do in tensorflow?

November 20, 2022 by Tarik

Ok I think this is about the simplest way to explain it all. Your example is 1 image, size 2×2, with 1 channel. You have 1 filter, with size 1×1, and 1 channel (size is height x width x channels x number of filters). For this simple case the resulting 2×2, 1 channel image (size … Read more

Keras input explanation: input_shape, units, batch_size, dim, etc

September 23, 2022 by Tarik

Units: The amount of “neurons”, or “cells”, or whatever the layer has inside it. It’s a property of each layer, and yes, it’s related to the output shape (as we will see later). In your picture, except for the input layer, which is conceptually different from other layers, you have: Hidden layer 1: 4 units … Read more