Hands-on meta learning with Python : meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046087568 | |
| 005 | 20250811102704 | |
| 008 | 210727s2018 enka b 001 0 eng d | |
| 020 | ▼a 9781789534207 | |
| 035 | ▼a (KERIS)BIB000015304035 | |
| 040 | ▼a 211029 ▼c 211029 ▼d 211009 | |
| 082 | 0 4 | ▼a 005.133 ▼2 23 |
| 084 | ▼a 005.133 ▼2 DDCK | |
| 090 | ▼a 005.133 ▼b R256h | |
| 100 | 1 | ▼a Ravichandiran, Sudharsan ▼0 AUTH(211009)172182. |
| 245 | 1 0 | ▼a Hands-on meta learning with Python : ▼b meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow / ▼c Sudharsan Ravichandiran. |
| 260 | ▼a Birmingham : ▼b Packt, ▼c 2018. | |
| 300 | ▼a iv, 215 p. : ▼b ill. ; ▼c 24 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Artificial intelligence. |
| 650 | 0 | ▼a Machine learning. |
| 650 | 0 | ▼a Python (Computer program language). |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.133 R256h | 등록번호 121257824 (4회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of "learning to learn", the book will help you implement your meta learning algorithms from scratch.
정보제공 :
목차
Table of Contents Introduction to Meta Learning Face and Audio Recognition using Siamese Network Prototypical Network and its variants Building Matching and Relation Network using Tensorflow Memory Augmented Networks MAML and its variants Meta-SGD and Reptile ALgorithm Gradient Agreement as an Optimization Objective Recent Advancements and Next Steps