
Hands-on one-shot learning with Python : learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
000 | 00000cam u2200205 a 4500 | |
001 | 000046087567 | |
005 | 20210728130030 | |
008 | 210727s2020 enka 001 0 eng d | |
020 | ▼a 9781838825461 (pbk.) | |
035 | ▼a (KERIS)BIB000015800584 | |
040 | ▼a 211062 ▼c 211062 ▼d 211009 | |
082 | 0 4 | ▼a 006.31 ▼2 23 |
084 | ▼a 006.31 ▼2 DDCK | |
090 | ▼a 006.31 ▼b J21h | |
100 | 1 | ▼a Jadon, Shruti. |
245 | 1 0 | ▼a Hands-on one-shot learning with Python : ▼b learn to implement fast and accurate deep learning models with fewer training samples using PyTorch / ▼c Shruti Jadon, Ankush Garg. |
246 | 3 0 | ▼a One-shot learning with Python |
260 | ▼a Birmingham : ▼b Packt Publishing, ▼c 2020. | |
300 | ▼a iii, 145 p. : ▼b ill. ; ▼c 24 cm. | |
500 | ▼a Includes index. | |
650 | 0 | ▼a Machine learning. |
650 | 0 | ▼a Computer vision. |
650 | 0 | ▼a Python (Computer program language). |
700 | 1 | ▼a Garg, Ankush. |
945 | ▼a KLPA |
Holdings Information
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No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.31 J21h | Accession No. 121257823 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Table of Contents
Introduction to One-shot Learning Metrics-Based Methods Models-Based Methods Optimization-Based Methods Generative Modeling-Based Methods Conclusion and Other Approaches