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Geometry of deep learning : a signal processing perspective

Geometry of deep learning : a signal processing perspective (1회 대출)

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단행본
개인저자
예종철.
서명 / 저자사항
Geometry of deep learning : a signal processing perspective / Jong Chul Ye.
발행사항
Singapore :   Springer,   2022.  
형태사항
xvi, 330 p. : col. ill. ; 24 cm.
총서사항
Mathematics in industry ;37.
ISBN
9789811660450
서지주기
Includes bibliographical references (p. 317-325) and index.
일반주제명
Machine learning. Machine learning --Mathematics. Geometry.
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020 ▼a 9789811660450 ▼q (hbk.)
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100 1 ▼a 예종철.
245 1 0 ▼a Geometry of deep learning : ▼b a signal processing perspective / ▼c Jong Chul Ye.
260 ▼a Singapore : ▼b Springer, ▼c 2022.
300 ▼a xvi, 330 p. : ▼b col. ill. ; ▼c 24 cm.
490 1 ▼a Mathematics in industry ; ▼v 37.
504 ▼a Includes bibliographical references (p. 317-325) and index.
650 0 ▼a Machine learning.
650 0 ▼a Machine learning ▼x Mathematics.
650 0 ▼a Geometry.
830 0 ▼a Mathematics in industry ; ▼v 37.
900 1 ▼a Ye, Jong Chul.
945 ▼a ITMT

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.310151 Y37g 등록번호 121260389 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Part I Basic Tools for Machine Learning: 1. Mathematical Preliminaries.- 2. Linear and Kernel Classifiers.- 3. Linear, Logistic, and Kernel Regression.- 4. Reproducing Kernel Hilbert Space, Representer Theorem.- Part II Building Blocks of Deep Learning: 5. Biological Neural Networks.- 6. Artificial Neural Networks and Backpropagation.- 7. Convolutional Neural Networks.- 8. Graph Neural Networks.- 9. Normalization and Attention.- Part III Advanced Topics in Deep Learning.- 10. Geometry of Deep Neural Networks.- 11. Deep Learning Optimization.- 12. Generalization Capability of Deep Learning.- 13. Generative Models and Unsupervised Learning.- Summary and Outlook.- Bibliography.- Index.

관련분야 신착자료

Easttom, Chuck (2021)
Glassner, Andrew S (2022)