!_Расширенный поиск_!    <НА ГЛАВНУЮ>

Скачать "Eugene Charniak - Introduction to Deep Learning (The MIT Press)" бесплатно

 
Панель управления
Логин 
Пароль 
 

Основные категории

-- Книги
-- Аудиокниги
-- Журналы
-- Фильмы


Смотрите также
Luis Pedro Coelho, Wilhelm Richert - Building Machine Learning Systems with Python - Third Edition
Md. Rezaul Karim - Scala Machine Learning Projects: Build real-world machine learning and deep lear ...
Denis Rothman - Artificial Intelligence By Example
Raul Garreta, Guillermo Moncecchi - scikit-learn: Machine Learning Simplified
Piotr Antonik - Application of FPGA to Real-Time Machine Learning: Hardware Reservoir Computers ...
Jason Brownlee - Machine Learning Mastery With R: Get Started, Build Accurate Models And Work Thr ...
Kai Hwang - Cloud Computing for Machine Learning and Cognitive Applications: A Machine Learn ...
Sweigart Albert - Разработка компьютерных игр на языке Python (2-е изд.)
Adam Stewart - Python Programming: Python Programming for Beginners, Python Programming for Int ...
Ashish Kumar, Joseph Babcock - Python: Advanced Predictive Analytics
Cody Jackson - Learn Programming in Python with Cody Jackson
Vijay Kotu, Bala Deshpande - Data Science: Concepts and Practice 2nd Edition
James Tudor - Python For Beginners. Learn Python In 5 Days With Step-by-Step Guidance And Hand ...
Anil Mahtani, Luis Sanchez, Enrique Fernandez - ROS Programming: Building Powerful Robots: Design, build and simulate complex ro ...
Irv Kalb - Learn to Program with Python 3: A Step-by-Step Guide to Programming (2nd Edition ...

Информация
Все вопросы и пожелания пишите на alexandrpe@meta.ua
Расширенный поиск
по сайту
Introduction to Deep Learning (The MIT Press) : КНИГИ » Программирование
автор: brij | 15 июня 2019 | Просмотров: 41
 
Introduction to Deep Learning (The MIT Press)     Название:   
    Автор:   
    Формат:   PDF
    Размер:   16,3 MB
    Год:   
    Качество:   Отличное
    Язык:   Английский
    Страниц:   187
    ISBN:   9780262039512

 
 

A project-based guide to the basics of deep learning.

This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework. “I find I learn computer science material best by sitting down and writing programs,” the author writes, and the book reflects this approach.

Each chapter includes a programming project, exercises, and references for further reading. An early chapter is devoted to Tensorflow and its interface with Python, the widely used programming language. Familiarity with linear algebra, multivariate calculus, and probability and statistics is required, as is a rudimentary knowledge of programming in Python. The book can be used in both undergraduate and graduate courses; practitioners will find it an essential reference.

Contents:
1 Feed-Forward Neural Nets 1
2 Tensorflow 29
3 Convolutional Neural Networks 51
4 Word Embeddings and Recurrent NNs 71
5 Sequence-to-Sequence Learning 95
6 Deep Reinforcement Learning 113
7 Unsupervised Neural-Network Models 137
A Answers to Selected Exercises 159
Bibliography 165
Index 169



Вы можете БЕСПЛАТНО скачать данный материал со следующих источников:





Сосчитайте:   78 + один – 3 =      и нажмите   






Разместите ссылку на эту страницу в социальных сетях. Так о ней узнают тысячи человек:





Нашли ошибку? Сообщите администрации сайта:
Выберите один из разделов меню и, если необходимо, напишите комментарий
   78 + один – 2 =    
За ложную информацию бан на месяц

Разместите, пожалуйста, ссылку на эту страницу на своём веб-сайте:

Код для вставки на сайт или в блог:      
Код для вставки в форум (BBCode):      
Прямая ссылка на эту публикацию:      


Помощь по работе с нашей библиотекой :

Программа для открытия файлов формата .PDF
Программа для открытия файлов формата .DJVU
Программа для открытия файлов формата .FB2

 
 
  • 0
 (голосов: 0)
Распечатать
 
 


Другие книги (журналы) по этой теме:
 
PyTorch Recipes: A Problem-Solution Approach | Pradeepta Mishra | Программирование | Скачать бесплатно без смс и регистрации Pradeepta Mishra - PyTorch Recipes: A Problem-Solution Approach

Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look at probability distributions using PyTorch and get a ...
 
 
Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform | Mathew Salvaris, Danielle Dean, Wee Hyong Tok | Программирование | Скачать бесплатно без смс и регистрации Mathew Salvaris, Danielle Dean, Wee Hyong Tok - Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a quest ...
 
 
Hands-On Machine Learning with C# | Matt R. Cole | Программирование | Скачать бесплатно без смс и регистрации Matt R. Cole - Hands-On Machine Learning with C#

Explore supervised and unsupervised learning techniques and add smart features to your applications. The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an unders ...
 
 
Deep Learning and the Game of Go | Max Pumperla, Kevin Ferguson | Программирование | Скачать бесплатно без смс и регистрации Max Pumperla, Kevin Ferguson - Deep Learning and the Game of Go

Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep l ...
 
 



Данный материал НЕ НАРУШАЕТ авторские права никаких физических или юридических лиц.
Если это не так - свяжитесь с администрацией сайта.
Материал будет немедленно удален.
Электронная версия этой публикации предоставляется только в ознакомительных целях.
Для дальнейшего её использования Вам необходимо будет
приобрести бумажный (электронный, аудио) вариант у правообладателей.

Администрация сайта

Наверх