With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum. Neural network momentum is a simple technique that often improves both ...

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 ...

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 little ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Google used TensorFlow to build its Magenta project, which aims to advance machine generated art, and recently released a 90-second piano melody created solely by a neural network. This gives an idea ...