Tensorflow vs PyTorch by Example

In the late 1990s, machine learning researchers were experimenting with ways to create artificial neural networks in layered architectures that could perform simple computer vision tasks. Machine learning is the science of writing algorithms that can learn from data. One classic benchmark of computer vision algorithms is their performance against the MNIST database. This database, whose name stands for Modified National Institute of Standards and Technology, consists of 70,000 small pictures of hand-written digits, each represented as a 28x28 pixel grid of grayscale color values. Each image is tagged with the number it represents.