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.

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

He begins by preparing the Jetson Nano with all the necessary tools, including installing and testing PyTorch. The concept and processes of tokenization, dataset preparation, and optimizing the Jetson ...

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 ...

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.

The latest version of Facebook's open source deep learning library PyTorch comes with quantization, named tensors, and Google Cloud TPU support.