Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

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 ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Explicitly linking prior knowledge and experience is key in engaging students in deep learning and transitions them away from passivity in learning Traditional teaching approaches often begin with a ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this ...