In this section, we will work for the first time on one of the most well-known datasets for pattern recognition. It was initially developed in order to train neural networks for character recognition of handwritten digits on checks.
The original dataset has 60,000 different digits for training and 10,000 for testing, and it was a subset of the original employed dataset when it was used.
In the following diagram, we show the LeNet-5 architecture, which was the first well-known convolutional architecture published regarding that problem.
Here, you can see the dimensions of the layers and the last result representation:
MNIST as a dataset that is easy to understand and read but difficult ...