Download PDF Mastering PyTorch - Second

Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features by Ashish Ranjan Jha

• Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features
• Ashish Ranjan Jha
• Page: 538
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781801074308
• Publisher: Packt Publishing

Download Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features

Free ebook downloads pdf epub Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features by Ashish Ranjan Jha (English literature) 9781801074308

Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Understand how to use PyTorch to build advanced neural network models including graph neural networks and reinforcement learning models Learn the latest tech, such as generating images from text using diffusion models Become an expert in deploying PyTorch models in the cloud, on mobile and across platforms Get the best from PyTorch by working with key libraries, including Hugging Face, fast.ai, and PyTorch Lightning PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most from your data and build complex neural network models. You'll create convolutional neural networks (CNNs) for image classification and recurrent neural networks (RNNs) 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. You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production, including mobiles and embedded devices. Finally, you'll discover the PyTorch 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 fast.ai for prototyping models to training models using PyTorch Lightning. You'll discover libraries for AutoML and explainable AI, create recommendation systems using TorchRec, and build language and vision transformers with Hugging Face. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models. Implement text, image, and music generating models using PyTorch Build a deep Q-network (DQN) model in PyTorch Deploy PyTorch models on mobiles and embedded devices Become well-versed with rapid prototyping using PyTorch with fast.ai Perform neural architecture search effectively using AutoML Easily interpret machine learning models using Captum Develop your own recommendation system using TorchRec Design ResNets, LSTMs, and graph neural networks Create language and vision transformer models using Hugging Face This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is an ideal resource for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python programming is required. Overview of Deep Learning with PyTorch Combining CNNs and LSTMs Deep CNN architectures Deep Recurrent Model Architectures Hybrid Advanced Neural Networks Graph Neural Networks Music and Text Generation with LSTMs Neural Style Transfer Image to Text Generation (Imagen/DALL-E) Deep Reinforcement Learning Model Training Optimisations Operationalizing PyTorch Models into Production PyTorch on Mobile and Embedded Devices Rapid Prototyping with PyTorch PyTorch and AutoML PyTorch and ExplainableAI Recommendation systems with TorchRec PyTorch x HuggingFace

Mastering PyTorch Book & Summary Reviews
Mastering PyTorch: Build powerful deep learning architectures using advanced PyTorch features, 2nd Edition ; Categories: Machine Learning Deep Learning 
Mastering PyTorch, published by Packt
This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. This book covers the 
Summary | Mastering PyTorch - Second Edition
In this chapter, we applied the concept of generative machine learning to images by generating an image that contains the content of one image and the style 
Deep Learning with PyTorch
Choosing the best activation function 148. What learning means for a neural network 149. 6.2 The PyTorch nn module 151. Using __call__ rather than forward 
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The book is excellent! The best source so far I found that shows how to use deep learning in Python. Very well explained material with a lot of examples. Highly 
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Python Deep Learning · Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition (Kindle Edition) 

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