Hands-On Deep Learning for Images with TensorFlow

Building a convolutional neural network

In this section, we're going to build a full convolutional neural network. We're going to cover the MNIST digits and transform that data to have channels construct the convolutional neural network with multiple layers, and then finally, run and train our convolutional neural network and see how it compares to the classical dense network.

Alright! Let's load up our MNIST digits, as shown in the following screenshot :

Loading MNIST digits

You can see that we're performing a similar operation to what we did for the dense neural network, except we're making a fundamental transformation to the data. Here, ...