Neural Network Back-Propagation Using Python. 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 ...

Neural networks are all the rage right now with increasing numbers of hackers, students, researchers, and businesses getting involved. The last resurgence was in the 80s and 90s, when there was lit… ...

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. At the ...

A deep learning or deep neural network framework covers a variety of neural network topologies with many hidden layers. Keras , MXNet , PyTorch , and TensorFlow are deep learning frameworks.

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 ...

Google’s DeepMind announced today that it was open sourcing Sonnet, its object-oriented neural network library. Sonnet doesn’t replace TensorFlow, it’s simply a higher-level library that ...

The neural network has helped Google understand the subject in each Google Photos upload and what you’re saying when you talk to your Android phone. It’s even helped improve search results.

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.