Pytorch Pocket Reference: Building and Deploying Deep Learning Models

Pytorch Pocket Reference: Building and Deploying Deep Learning Models

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Are you looking to dive into building and deploying deep learning models using PyTorch? Look no further than the PyTorch Pocket Reference! This handy guide provides a comprehensive overview of PyTorch, one of the most popular deep learning frameworks used by researchers and practitioners.

In this reference, you will learn the fundamentals of PyTorch, including tensors, autograd, and neural network modules. You will also discover how to train and evaluate deep learning models, as well as how to deploy them in production.

Whether you are a beginner looking to get started with deep learning or an experienced practitioner looking to brush up on your PyTorch skills, the PyTorch Pocket Reference is a must-have resource for building and deploying deep learning models. Grab your copy today and take your deep learning projects to the next level!
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