Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...

PyTorch is celebrated for its dynamic computational graph that allows for flexible model architectures, and its speed in processing artificial neural networks. It’s widely used in both academic ...

The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see ... Using PyTorch Demo Run After training, the demo program ...

Overall, PyTorch is one of a handful of top-tier frameworks for deep neural networks with GPU support. You can use it for model development and production, you can run it on-premises or in the ...

Training neural networks takes a lot of time ... the team argues that it can speed up the training process by 100x or more. “PyTorch is beautiful and so is TensorFlow. These toolkits are ...

A subcategory of machine learning, deep learning uses multi-layered neural networks to automate ... “If you can see it in the image, we can train a model to analyze it as well as a human.” ...

the Open Neural Network Exchange this morning in respective blog posts. The Exchange makes it easier for machine learning developers to convert models between PyTorch and Caffe2 to reduce the ...