Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond


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Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

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Publisher ‏ : ‎ Packt Publishing; 2nd ed. edition (May 31, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 558 pages
ISBN-10 ‏ : ‎ 1801074305
ISBN-13 ‏ : ‎ 978-1801074308
Item Weight ‏ : ‎ 2.11 pounds
Dimensions ‏ : ‎ 1.14 x 7.5 x 9.25 inches

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Are you ready to take your deep learning skills to the next level? In our latest post, we’ll be diving into the world of PyTorch and exploring how you can create and deploy a wide range of deep learning models, from Convolutional Neural Networks (CNNs) to multimodal models, Large Language Models (LLMs), and beyond.

PyTorch is a powerful open-source deep learning framework that has become increasingly popular among researchers and practitioners in the field. With its flexible and intuitive design, PyTorch makes it easy to build and train complex neural networks for a wide range of applications.

In this post, we’ll walk you through the process of building and deploying deep learning models in PyTorch. We’ll cover everything from the basics of setting up your environment and defining your model architecture, to training and fine-tuning your model on real-world datasets. We’ll also explore how you can leverage PyTorch’s built-in tools and libraries to optimize your models for performance and scalability.

Whether you’re a seasoned deep learning practitioner looking to expand your skills or a newcomer eager to dive into the world of deep learning, this post is for you. Join us as we explore the exciting world of PyTorch and learn how you can create and deploy cutting-edge deep learning models for a wide range of applications.
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