소장자료
| LDR | 01881cam a2200277 a 4500 | ||
| 001 | 0093767383▲ | ||
| 003 | OCoLC▲ | ||
| 005 | 20180520033145▲ | ||
| 008 | 160711s2017 caua 001 0 eng c▲ | ||
| 019 | ▼a953440271▲ | ||
| 020 | ▼a1491962291 (paperback)▲ | ||
| 020 | ▼a9781491962299 (paperback)▲ | ||
| 035 | ▼a(OCoLC)953432302▼z(OCoLC)953440271▲ | ||
| 040 | ▼aYDXCP▼beng▼cYDXCP▼dBDX▼dOCLCQ▼dBTCTA▼dJBL▼dUUM▼dTEF▼dJRZ▼dOCLCF▼dGP5▲ | ||
| 082 | 0 | 4 | ▼a006.31▼223▲ |
| 090 | ▼a006.31▼bG377h▲ | ||
| 100 | 1 | ▼aGéron, Aurélien.▲ | |
| 245 | 1 | 0 | ▼aHands-on machine learning with Scikit-Learn and TensorFlow :▼bconcepts, tools, and techniques to build intelligent systems /▼cAurélien Géron.▲ |
| 260 | ▼aSebastopol, CA :▼bO'Reilly Media,▼c2017.▲ | ||
| 300 | ▼axx, 543 p. :▼bill. ;▼c24 cm.▲ | ||
| 500 | ▼aIncludes index.▲ | ||
| 505 | 0 | ▼aThe fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.▲ | |
| 520 | ▼aThrough a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.▲ | ||
| 650 | 0 | ▼aMachine learning.▲ | |
| 650 | 0 | ▼aArtificial intelligence.▲ | |
| 999 | ▼c김정이▲ |
Hands-on machine learning with Scikit-Learn and TensorFlow :concepts, tools, and techniques to build intelligent systems
자료유형
국외단행본
서명/책임사항
Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron.
개인저자
발행사항
Sebastopol, CA : O'Reilly Media , 2017.
형태사항
xx, 543 p. : ill. ; 24 cm.
일반주기
Includes index.
내용주기
The fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.
요약주기
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
ISBN
1491962291 (paperback) 9781491962299 (paperback)
청구기호
006.31 G377h
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