Microsoft Research data scientist Dr. James McCaffrey explains what neural network Glorot initialization is and why it's the default technique for weight initialization.

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java.

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 ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

Detailed explanation and hands-on Python implementation of dropout from scratch. #Dropout #PythonAI #NeuralNetworks Donald Trump's remarks about Putin leave Russian state TV stunned Which Berry ...

When we discuss neural networks, this is always the hitch. In a broad sense, there is no problem solvable with a neural network that isn’t solvable using traditional techniques.

Scientists have developed an artificial neural network out of DNA that can recognize highly complex and noisy molecular information.

So how is a designer supposed to deal with what are literally thousands of options for the network architecture? Here are some guidelines for novice neural network engineers.

Alibaba says its deep neural network model has outscored humans in a global reading test, paving the way for the underlying technology to reduce the need for human input.

Five DECADES of research into artificial neural networks have earned Geoffrey Hinton the moniker of the Godfather of artificial intelligence (AI). Work by his group at the University of Toronto ...