Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

While the code will still be available ... You can watch the recorded talk here PyTorch Developer Day 2020 Model Interpretability. You can watch the recorded talk here NAACL 2021 Tutorial on ...

Write your PyTorch code to define and train your model, utilizing services like AWS CloudWatch for monitoring and Amazon SageMaker for model deployment. Optimize costs by managing resource ...

This code assumes that a subdirectory named Model exists relative to the program. The code should be mostly self-explanatory. It is common to use a ".pth" extenstion for a saved PyTorch model but you ...

According to its source code repository, PyTorch provides two high-level features ... because it was easier to use than TensorFlow for model development with graphics processing units (GPUs).

Using PyTorch Hub, you can get a pre-trained ResNet-50 model with just one line of code: model = torch.hub.load('pytorch/vision', 'resnet50', pretrained=True) And PyTorch Hub is unified across ...

Binary Classification Using PyTorch: Model Accuracy In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research shows how to evaluate ...