Deep Learning with PyTorch / (Record no. 23140)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01486nam a22001937a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241025111645.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241025b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781617295263 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Stevens, Eli |
| 245 ## - TITLE STATEMENT | |
| Title | Deep Learning with PyTorch / |
| Statement of responsibility, etc. | Eli Stevens, Luca Antiga, Thomas Viehmann |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New York: |
| Name of publisher, distributor, etc. | Manning Publications, |
| Date of publication, distribution, etc. | 2020. |
| 300 ## - Physical Description | |
| Pages: | xxviii,490 p. |
| 500 ## - GENERAL NOTE | |
| General note | Foreword by Soumith Chintala |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Deep Learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Antiga, Luca |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Total Checkouts | Accession No. | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Available | TIFR CAM Library | TIFR CAM Library | 20/02/2024 | MM Book Plaza | M12220 | 25/10/2024 | 25/10/2024 | Books |