Py Torch is making it easier than ever before for anyone to build deep learning applications. This Py Torch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models.
You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you’ll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You’ll not only build and train your own deep reinforcement learning models in Py Torch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy Py Torch models to production, including mobile devices. Finally, you’ll discover the Py Torch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and Py Torch Lightning to train models. You’ll discover libraries for Auto ML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face.
By the end of this book, you’ll be able to perform complex deep learning tasks using Py Torch to build smart artificial intelligence models.
Ashish Ranjan Jha
Mastering PyTorch [EPUB ebook]
Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
Mastering PyTorch [EPUB ebook]
Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
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Idioma Inglés ● Formato EPUB ● Páginas 558 ● ISBN 9781801079969 ● Tamaño de archivo 41.8 MB ● Editorial Packt Publishing ● Publicado 2024 ● Descargable 24 meses ● Divisa EUR ● ID 9471991 ● Protección de copia sin