The revised version addresses changes in PyTorch, Torchvision, HuggingFace, and other libraries. The chapters most affected were Chapter 4 (in Volume II) and Chapter 11 (in Volume …

The document includes a comprehensive setup guide, visualizations, and step-by-step instructions for implementing various deep learning concepts. It is designed for beginners and …

Where the Zero to Mastery PyTorch course works from a code-first perspective, the Step-by-Step series covers PyTorch and deep learning from a concept-first perspective with code examples …

Sep 12, 2024 · We will build, step-by-step, not only the models themselves but also your understanding as I show you both the reasoning behind the code and how to avoid some …

Though PyTorch was released recently and is still in its beta version, it has become immensely popular among data scientists and deep learning researchers for its ease of use, better …

In this 9-part crash course you will discover applied deep learning in Python with the easy to use and powerful PyTorch library. This mini-course is intended for practitioners that are already …

It provides us with Tensors, Autodifferentiation, and functions commonly used in Deep Learning models. Faster training with a GPU! Let’s check if they are installed properly. If nothing …

Aug 25, 2024 · Learn PyTorch in an easy-to-follow guide written for beginners. From the basics of gradient descent all the way to fine-tuning large NLP models.

Step 5: Rinse and Repeat! Even though the plots are important to illustrate the paths, the corresponding code is beyond the scope of this chapter. Start coding or generate with AI....

Jul 24, 2021 · Backed by a number of tricks of the trade for training and optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these …