Ashish Ranjan Jha 
Mastering PyTorch 
Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond

Master advanced techniques and algorithms for machine learning with Py Torch using real-world examples Updated for Py Torch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the print or Kindle book includes a free e Book in PDF format Key Features Understand how to use Py Torch to build advanced neural network models Get the best from Py Torch by working with Hugging Face, fastai, Py Torch Lightning, Py Torch Geometric, Flask, and Docker Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book Description 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.What you will learn Implement text, vision, and music generation models using Py Torch Build a deep Q-network (DQN) model in Py Torch Deploy Py Torch models on mobile devices (Android and i OS)Become well versed in rapid prototyping using Py Torch with fastai Perform neural architecture search effectively using Auto MLEasily interpret machine learning models using Captum Design Res Nets, LSTMs, and graph neural networks (GNNs)Create language and vision transformer models using Hugging Face Who this book is for This deep learning with Py Torch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using Py Torch. This book is ideal for those looking to switch from Tensor Flow to Py Torch. Working knowledge of deep learning with Python is required.