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Concepts and Programming in PyTorch

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PyTorch Recipes

then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations;

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Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to;

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Advanced Deep Learning for Engineers and Scientists

effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python;

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Mastering PyTorch

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use;

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Deep Learning with PyTorch Quick Start Guide

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases;

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The Deep Learning with PyTorch Workshop

Get a head start in the world of AI and deep learning by developing your skills with PyTorch Key Features Learn how to define your own;

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PyTorch Recipes

chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated;

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Deep Learning with PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch Key Features Learn PyTorch for implementing cutting-edge;

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Hands-On Natural Language Processing with PyTorch 1.x

Learn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch Improve your NLP applications with innovative neural;

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PyTorch Deep Learning Hands-On

Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch Key Features Internals and principles of PyTorch;

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PyTorch 1.x Reinforcement Learning Cookbook

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes Key Features Use PyTorch 1.x to;

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Stevens:Deep Learning with PyTorc_p

, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you;

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Natural Language Processing with PyTorchlow

how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a;

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PyTorch Pocket Reference

spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch;

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Deep Learning with Python

and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems;

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Deep Learning with Python

how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world;

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Hands-On One-shot Learning with Python

Get to grips with building powerful deep learning models using PyTorch and scikit-learn Key Features Learn how you can speed up the deep;

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Rookie Programming

learn to think like programmers, learn programming terms, and learn how to structure programs in BASIC, C, and Pascal. Stresses programming;

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Deep Reinforcement Learning with Python

deep reinforcement learning implementation using popular deep learning frameworks such as TensorFlow and PyTorch. In the end, you'll;

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Computer Vision Projects with PyTorch

vision algorithms and their applications using PyTorch. The book begins with the fundamentals of computer vision: convolutional neural nets;

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Hands-on Machine Learning with Python

learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;

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Programming Language Concepts

This book explains and illustrates key concepts of programming by taking a breadth approach to programming languages. It uses C++ as the;

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Programming Language Concepts

This book explains and illustrates key concepts of programming by taking a breadth approach to programming languages. It uses C++ as the;

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C++ Programming

This book begins by explaining key concepts in programming, and elaborates on characteristic of class, including inheritance, derivation;

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Programming Languages and Operational Semantics

alternative programming language paradigms and gives an in-depth analysis of the most significant constructs in modern imperative, functional and;

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Beginning Anomaly Detection Using Python-Based Deep Learning

and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly;

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