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 ...

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 ...

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

Neural Networks For Dummies Neural networks get their name from the mass of neurons in your noggin. While the overall network is absurdly complex, the operation of a single neuron is simple.

Lighten up So how do you implement a neural network using light? To understand that, you have to understand the structure of a deep-learning neural network.

How neural networks work—and why they’ve become a big business Neural networks have grown from an academic curiosity to a massive industry.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Researchers borrowed equations from calculus to redesign the core machinery of deep learning so it can model continuous processes like changes in health.