We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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.

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...

XOR is (or should be) a piece of cake for that neural net.<BR><BR>The problem might not be in learning rate, etc, but perhaps in your transfer function, or maybe you have a bug in your back ...

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.

Discover the 20 best neural network software. Learn about the features of each software and find the best one.

TensorFlow has since improved its support for eager execution mode, but PyTorch is still popular in the academic and research communities.