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 ...

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.

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 ...

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 ...

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.

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 ...

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