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 ...

If you’re new to deep learning, I suggest that you start by going through the tutorials for Keras in TensorFlow 2 and fastai in PyTorch.

Timestamps: 00:00 – Intro 01:08 – Setting Up Our Environment 05:30 – Installing Pytorch 13:50 – Testing Pytorch 09:00 – NanoGPT Setup 16:03 – Understanding Tokenization 23:24 – Data Set Prep 24:20 – ...

Using a mix of PyTorch, a framework co-created by Facebook, and machine-learning platform Allegro Trains, med-tech company theator is now providing surgeons with a tool that lets them watch over ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...

Shifting PyTorch into high gear for faster training In addition to the code improvements in PyTorch, IBM has also worked to enable the open-source Red Hat OpenShift Kubernetes platform to support ...

Available today, PyTorch 1.3 comes with the ability to quantize a model for inference on to either server or mobile devices. Quantization is a way to perform computation at reduced precision.

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...