Training a neural network is the process of finding a set of weights and bias values so that computed outputs closely match the known outputs for a collection of training data items. Once a set of ...

The follow-on tutorial “for experts” covers some of the same material again, faster, but then shows you how to create a multilayer convolutional neural network to improve the results to about ...

The follow-on tutorial “for experts” covers some of the same material again, faster, but then shows you how to create a multilayer convolutional neural network to improve the results to about ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...