September 2018
Intermediate to advanced
296 pages
9h 10m
English
Those who have experience with deep learning have most likely heard about the MNIST dataset. It is one of the most widely-used image datasets, serving as a benchmark for tasks such as image classification and image generation, and is used by many computer vision models:

There are several problems with MNIST, however. First of all, the dataset is too easy, since a simple convolutional neural network is able to achieve 99% test accuracy. In spite of this, the dataset is used far too often in research and benchmarks. The F-MNIST dataset, produced by the online ...
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