The Deep Learning with PyTorch Workshop

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 5 (0)

Build deep neural networks and artificial intelligence applications with PyTorch

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

Build deep neural networks and artificial intelligence applications with PyTorch

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 network architecture in deep learning Implement helpful methods to create and train a model using PyTorch syntax Discover how intelligent applications using features like image recognition and speech recognition really process your data Book Description

Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you're starting from scratch.

It's no surprise that deep learning's popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you'll use PyTorch to understand the complexity of neural network architectures.

The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You'll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you'll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.

By the end of this book, you'll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.

What you will learn

Explore the different applications of deep learning Understand the PyTorch approach to building neural networks Create and train your very own perceptron using PyTorch Solve regression problems using artificial neural networks (ANNs) Handle computer vision problems with convolutional neural networks (CNNs) Perform language translation tasks using recurrent neural networks (RNNs) Who this book is for

This deep learning book is ideal for anyone who wants to create and train deep learning models using PyTorch. A solid understanding of the Python programming language and its packages will help you grasp the topics covered in the book more quickly.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2020

نویسنده

Hyatt Saleh

ناشر

Packt Publishing

شابک

9781838989217

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب The Deep Learning with PyTorch Workshop

The Deep Learning with PyTorch Workshop

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2020

نویسنده

ناشر

شابک

کتاب های مرتبط

Some Small Countries Do It Better Rapid Growth and Its Causes in Singapore, Finland, and Ireland.

Distributed Coordination of Multi-Agent Networks

Kill Decision

Silent Weapons

Leadership by Algorithm

Core Concepts in Data Analysis

Core Concepts in Data Analysis

Militarized Conflict Modeling Using Computational Intelligence

The Artificial Intelligence Revolution

The Economic Singularity

Attunga (Tales of the Terran Diaspora, #1)

Immortal Life

Uncanny

Robogenesis

Renegade

Lieutenant Henry Gallant

Newton's Wake

The Last Firewall

Rogue Protocol

The Terminal Experiment

Clever Algorithms

دیدگاه کاربران