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▼a 183855033X
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▼a 9781838550332
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▼a Mitchell, Laura.
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▼a Deep Learning with Pytorch 1.x:
▼b Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition. -
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▼a With practical examples, this book teaches you how to effectively implement deep learning techniques to build neural network architectures. This book will be useful for anyone who wants to implement deep learning concepts using the latest version of PyTorch.
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▼a Neural networks (Computer science)
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▼a Machine learning.
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▼a K., Sri. Yogesh.
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▼a Subramanian, Vishnu.
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상세정보
Deep Learning with Pytorch 1.x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition / 2nd ed
QR코드| 자료유형 : | eBook |
|---|---|
| ISBN : | 183855033X |
| ISBN : | 9781838550332 |
| 개인저자 : | Mitchell, Laura. |
| 서명/저자사항 : | Deep Learning with Pytorch 1.x: Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition. |
| 판사항 : | 2nd ed. |
| 발행사항 : | Birmingham: Packt Publishing, Limited, 2019. |
| 형태사항 : | 1 online resource (293 pages). |
| 요약 : | With practical examples, this book teaches you how to effectively implement deep learning techniques to build neural network architectures. This book will be useful for anyone who wants to implement deep learning concepts using the latest version of PyTorch. |
| 일반주제명 : | Neural networks (Computer science) -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Python (Computer program language) -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Neural networks (Computer science) -- |
| 일반주제명 : | Python (Computer program language) -- |
| 개인저자 : | K., Sri. Yogesh. |
| 개인저자 : | Subramanian, Vishnu. |
| 기타형태 저록 : | Print version: Mitchell, Laura. Deep Learning with Pytorch 1. x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition. Birmingham : Packt Publishing, Limited, ©2019, 9781838553005 |
| 언어 | 영어 |
| URL : |
|---|
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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