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 ...

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

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.

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

Cloudy with a chance of neurons: The tools that make neural networks work If you want to get your own hands dirty with machine learning, start here.

The most important thing for a solid neural network is the connections between neurons. Good connections make a good network, but bad connections leave you with nothing but junk.

Many of today’s leading AI systems are recurrent neural networks . This deep-learning method uses past information to improve performance on current and future inputs, But AI memory problem ...