TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. In this article, the author explains how to use Tensorflow.NET to build a neural network.

Wrapping Up Python has been used for many years, and it seems as if Python is becoming the most common language for accessing sophisticated neural network libraries such as CNTK, TensorFlow and others ...

Keras: Best for Rapid Prototyping Keras is a high-level, open-source neural network library written in Python. It can run on top of other deep learning frameworks, such as TensorFlow, Theano or ...

It's a long time since I last worked on neural nets, and I'm working on one now for a new project.I'm testing it using the good ol' XOR problem. 2 inputs, one neuron in a hidden layer, one output ...

The Python language is too slow to create serious neural networks from scratch. But implementing a neural network in Python gives you a complete understanding of what goes on behind the scenes when ...

Keras is a high-level, front-end specification and implementation for building neural network models that ships with support for three back-end deep learning frameworks: TensorFlow, CNTK, and Theano.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.