Deep Learning with Keras

A real example — recognizing handwritten digits

In this section, we will build a network that can recognize handwritten numbers. For achieving this goal, we use MNIST (for more information, refer to http://yann.lecun.com/exdb/mnist/), a database of handwritten digits made up of a training set of 60,000 examples and a test set of 10,000 examples. The training examples are annotated by humans with the correct answer. For instance, if the handwritten digit is the number three, then three is simply the label associated with that example.

In machine learning, when a dataset with correct answers is available, we say that we can perform a form of supervised learning. In this case, we can use training examples for tuning up our net. Testing examples ...