{"repo":"dvgodoy/PyTorchStepByStep","free":true,"listed":false,"github":"https://github.com/dvgodoy/PyTorchStepByStep","clone":"git clone https://github.com/dvgodoy/PyTorchStepByStep.git","description":"Official repository of my book: \"Deep Learning with PyTorch Step-by-Step: A Beginner's Guide\"","language":"Jupyter Notebook","stars":1482,"topics":["deep-learning","pytorch","pytorch-tutorial","python","cnn-pytorch","rnn-pytorch"],"license":"MIT","category":"machine-learning","readme_excerpt":"Deep Learning with PyTorch Step-by-Step New book: \"A Hands-On Guide to Fine-Tuning LLMs\" Kindle Paperback PDF [Leanpub] PDF [Gumroad] Revised for PyTorch 2.x! The revised version addresses changes in PyTorch, Torchvision, HuggingFace, and other libraries. The chapters most affected were Chapter 4 (in Volume II) and Chapter 11 (in Volume III). Please check the PDFs below containing the changes (check the paragraphs highlighted in red): - Changes to Volume I - Changes to Volume II - Changes to Volume III This is the official repository of my book \" Deep Learning with PyTorch Step-by-Step \". Here you will find one Jupyter notebook for every chapter in the book. Each notebook contains all the code shown in its corresponding chapter, and you should be able to run its cells in sequence to get the same outputs as shown in the book . I strongly believe that being able to reproduce the results brings confidence to the reader. There are three options for you to run the Jupyter notebooks: Google Colab You can easily load the notebooks directly from GitHub using Colab and run them using a GPU provided by Google. You need to be logged in a Google Account of your own. You can go through the chapters already using the links below: Part I - Fundamentals - Chapter 0 - Visualizing Gradient Descent - Chapter 1 - A Simple Regression Problem - Chapter 2 - Rethinking the Training Loop - Chapter 2.1 - Going Classy - Chapter 3 - A Simple Classification Problem Part II - Computer Vision - Chapter 4 -","default_branch":null,"files":null,"tree":[],"storefront":"/r/dvgodoy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dvgodoy/PyTorchStepByStep/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}