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 ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

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.

Step-by-step coding a full deep neural network with zero libraries — just logic and Python. #NeuralNetwork #PythonCode #DeepLearning Donald Trump's remarks about Putin leave Russian state TV ...

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

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 meshes ...