| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045884033 | |
| 005 | 20251126104130 | |
| 007 | ta | |
| 008 | 161006s2016 deua b 001 0 eng d | |
| 020 | ▼a 9781519514219 | |
| 020 | ▼a 1519514212 | |
| 035 | ▼a (KERIS)BIB000014008162 | |
| 040 | ▼a 211048 ▼c 211048 ▼d 211009 | |
| 050 | 4 | ▼a QA76.9.D343 ▼b L495 2016 |
| 082 | 0 0 | ▼a 006.312 ▼2 23 |
| 084 | ▼a 006.312 ▼2 DDCK | |
| 090 | ▼a 006.312 ▼b L675d | |
| 100 | 1 | ▼a Lewis, Nigel Da Costa ▼0 AUTH(211009)176556. |
| 245 | 1 0 | ▼a Deep learning made easy with R : ▼b a gentle introduction for data science / ▼c N. D. Lewis. |
| 260 | ▼a Middletown, DE : ▼b AusCov, ▼c 2016. | |
| 300 | ▼a xi, 235 p. : ▼b ill. ; ▼c 23 cm. | |
| 504 | ▼a Includes bibliographic references and index. | |
| 650 | 0 | ▼a R (Computer program language). |
| 650 | 0 | ▼a Artificial intelligence. |
| 650 | 0 | ▼a Neural networks (Computer science). |
| 650 | 0 | ▼a Machine learning. |
| 650 | 0 | ▼a Mathematical statistics ▼x Data processing. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 의학도서관/자료실(3층)/ | 청구기호 006.312 L675d | 등록번호 131050686 (10회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Master Deep Learning with this fun, practical, hands on guide.
With the explosion of big data deep learning is now on the radar. Large companies such as Google, Microsoft, and Facebook have taken notice, and are actively growing in-house deep learning teams. Other large corporations are quickly building out their own teams. If you want to join the ranks of today's top data scientists take advantage of this valuable book. It will help you get started. It reveals how deep learning models work, and takes you under the hood with an easy to follow process showing you how to build them faster than you imagined possible using the powerful, free R predictive analytics package.Bestselling decision scientist Dr. N.D Lewis shows you the shortcut up the steep steps to the very top. It's easier than you think. Through a simple to follow process you will learn how to build the most successful deep learning models used for learning from data. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful applications.
If you want to accelerate your progress, discover the best in deep learning and act on what you have learned, this book is the place to get started.
YOU'LL LEARN HOW TO:
- Understand Deep Neural Networks
- Use Autoencoders
- Unleash the power of Stacked Autoencoders
- Leverage the Restricted Boltzmann Machine
- Develop Recurrent Neural Networks
- Master Deep Belief Networks
Buy the book today. Your next big breakthrough using deep learning is only a page away!
정보제공 :
저자소개
나이젤 루이스(지은이)
끊임없이 R과 파이썬 등을 연구하고 지식을 공유하고자 한다. 지금까지 『Machine Learning Made Easy with R』(2017), 『Deep Learning for Business with R』(2016), 『92 Applied Predictive Modeling Techniques in R』(2015), 『Visualizing Complex Data Using R(2014), 『100 Statistical Tests: in R』(2013) 등을 저술해오고 있다.