Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of parameters, and specialized architectures like convolutional neural ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

Thanks to everyone who attended our AI Agenda Live event in New York yesterday! It was incredible to get to meet so many subscribers in person and hear from leaders in AI research, robotics and VC ...