A neural network implementation can be a nice addition to a Python programmer's skill set. If you're new to Python, examining a neural network implementation is a great way to learn the language.

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

For simple neural networks, most of my colleagues try online training first, then, if results aren’t satisfactory, they'll try batch or mini-batch training. Like many machine learning activities, ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.

Hey, I’m Jabril and welcome to Crash Course AI! One way to make an artificial brain is by creating a neural network, which can have millions of neurons and billions (or trillion ...

If you’ve dug into any articles on artificial intelligence, you’ve almost certainly run into the term “neural network.” Modeled loosely on the human brain, artificial neural networks ...

What are artificial neural networks used for? There are several ways artificial neural networks can be deployed including to classify information, predict outcomes and cluster data.

Discover the 20 best neural network software. Learn about the features of each software and find the best one.