News
Deep Learning with Yacine on MSN16d
Network in Network (NiN) Deep Neural Network Explained with PyTorch
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 ...
There are several classical statistics techniques for regression problems. Neural regression solves a regression problem using a neural network. This article is the second in a series of four articles ...
When using a PyTorch neural network, categorical predictor data must be encoded into a numeric form, and numeric predictor data should be normalized. For multi-class classification, the dependent ...
A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.
Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results