عنوان

Introduction to deep learning :

شابک

3319730045

شابک

9783319730042

شابک اشتباه

3319730037

شابک اشتباه

9783319730035

کد کشور

bnb

شماره

b624108

عنوان اصلي

Introduction to deep learning :

نام عام مواد

[Book]

ساير اطلاعات عنواني

from logical calculus to artificial intelligence /

نام نخستين پديدآور

Sandro Skansi.

نام خاص و کميت اثر

1 online resource (XIII, 191 pages) :

ساير جزييات

38 illustrations

عنوان فروست

Undergraduate Topics in Computer Science,

شاپا ي ISSN فروست

1863-7310

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

From Logic to Cognitive Science -- Mathematical and Computational Prerequisites -- Machine Learning Basics -- Feed-forward Neural Networks -- Modifications and Extensions to a Feed-forward Neural Network -- Convolutional Neural Networks -- Recurrent Neural Networks -- Autoencoders -- Neural Language Models -- An Overview of Different Neural Network Architectures -- Conclusion.

بدون عنوان

0

متن يادداشت

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website. Topics and features: Introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning Discusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural network Examines convolutional neural networks, and the recurrent connections to a feed-forward neural network Describes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learning Presents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology. Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb and Lecturer in Data Science at University College Algebra, Zagreb, Croatia.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix. 9783319730042

شماره استاندارد بين المللي کتاب و موسيقي

9783319730035

موضوع مستند نشده

Artificial intelligence-- Mathematics.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

Coding theory & cryptology.

موضوع مستند نشده

Coding theory.

موضوع مستند نشده

Computer science.

موضوع مستند نشده

Computers-- Computer Graphics.

موضوع مستند نشده

Computers-- Computer Vision & Pattern Recognition.

موضوع مستند نشده

Computers-- Database Management-- Data Mining.

موضوع مستند نشده

Computers-- Information Theory.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Image processing.

موضوع مستند نشده

Image processing.

موضوع مستند نشده

Mathematical modelling.

موضوع مستند نشده

Mathematics-- Applied.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

Pattern perception.

موضوع مستند نشده

Pattern recognition.

موضوع مستند نشده

COM021030

موضوع مستند نشده

UNF

موضوع مستند نشده

UYQE

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Skansi, Sandro

تاريخ عمليات

20201221083243.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y