Fine Tuning Pytorch

Ultimate Transformer Models Using PyTorch 2.0: Master Transformer Model Development, Fine-Tune Pretrained Models, and Deploy

Ultimate Transformer Models Using PyTorch 2.0: Master Transformer Model Development, Fine-Tune Pretrained Models, and Deploy AI Solutions with PyTorch 2.0 (English Edition)
English | September 4, 2025 | ASIN: B0FPWZ84XV | 660 pages | EPUB (True) | 19.53 MB

NLP for Hugging Face, PyTorch,TensorFlow Transformers with Python  eBooks & eLearning

Posted by TiranaDok at May 27, 2024
NLP for Hugging Face, PyTorch,TensorFlow Transformers with Python

NLP for Hugging Face, PyTorch,TensorFlow Transformers with Python: Build Real-World NLP Solutions with Leading Python Frameworks! Master NLP with Hugging … Transformers (Python Trailblazer’s Bible) by Katie Millie
English | February 29, 2024 | ISBN: N/A | ASIN: B0CW9Z48SG | 201 pages | EPUB | 0.26 Mb
PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition

PyTorch Recipes
by Unknown

English | 2022 | ISBN: ‎ 1484289242 | 282 pages | PDF EPUB | 11.51 MB
PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition
English | 2022 | ISBN: 9781484289259 | 282 pages | True EPUB | 13.1 MB

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code.

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models  eBooks & eLearning

Posted by Free butterfly at Aug. 25, 2023
PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models by Pradeepta Mishra
English | December 8, 2022 | ISBN: 1484289242 | 290 pages | MOBI | 4.99 Mb

Python Pytorch Programming With Coding Exercises  eBooks & eLearning

Posted by ELK1nG at Nov. 11, 2024
Python Pytorch Programming With Coding Exercises

Python Pytorch Programming With Coding Exercises
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 245.61 MB | Duration: 1h 25m

Master Deep Learning with PyTorch Through Hands-On Coding Challenges
Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer

Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques (English Edition) by M. Arshad Siddiqui
English | January 17, 2025 | ISBN: N/A | ASIN: B0DTHC4GBN | 480 pages | PDF | 10 Mb

Mastering Computer Vision with PyTorch 2.0  eBooks & eLearning

Posted by eBookRat at Jan. 18, 2025
Mastering Computer Vision with PyTorch 2.0

Mastering Computer Vision with PyTorch 2.0
by M. Arshad Siddiqui

English | January 17, 2025 | ISBN: 9348107488 | 255 Pages | True epub | 22,67 MB

Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge  eBooks & eLearning

Posted by Free butterfly at July 5, 2025
Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge

Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques (English Edition) by M. Arshad Siddiqui
English | January 17, 2025 | ISBN: N/A | ASIN: B0DTHC4GBN | 480 pages | PDF | 10 Mb

Deep Learning with PyTorch video edition  eBooks & eLearning

Posted by sammoh at July 29, 2021
Deep Learning with PyTorch video edition

Deep Learning with PyTorch
MP4 | Video: AVC 1276 x 716 | Audio: AAC 44 Khz 2ch | Duration: 15:32:46 | 5.41 GB

With this publication, we finally have a definitive treatise on PyTorch. It covers the basics and abstractions in great detail.
From the Foreword by Soumith Chintala, Cocreator of PyTorch