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.

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 ...

For example, TensorFlow supports Nvidia CUDA cards only. But you can still use the GPU for your own custom neural network code. Various links are in the comments for that too.

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.

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

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.