Folders and files Latest commit Cannot retrieve latest commit at this time. History3 Commits 00 Pytorch Fundamentals added jupyter library Feb 27, 2025 README.md first commit Feb 27, 2025 Repository files navigation README pytorch-deep-learningAbout...
Deep Learning with pyTorch This text aims to explore the deep learning library pyTorch and document it's functionalities. The primary source which I've used is this. General Introduction of pyTorch Tensors are the basic data structures used in pyTorch. They are basically n-dimensional arrays. It...
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorchgithub.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
git clone https://github.com/udacity/deep-learning-v2-pytorch.git cd deep-learning-v2-pytorch Create (and activate) a new environment, named deep-learning with Python 3.6. If prompted to proceed with the install (Proceed [y]/n) type y. Linux or Mac: conda create -n deep-learning py...
Code to accompany the DLwPT book. Deep Learning with PyTorch has 2 repositories available. Follow their code on GitHub.
git clone https://github.com/udacity/deep-learning-v2-pytorch.git cd deep-learning-v2-pytorch Create (and activate) a new environment, nameddeep-learningwith Python 3.6. If prompted to proceed with the install(Proceed [y]/n)type y.
git clone https://github.com/udacity/deep-learning-v2-pytorch.git cd deep-learning-v2-pytorch Create (and activate) a new environment, named deep-learning with Python 3.6. If prompted to proceed with the install (Proceed [y]/n) type y. Linux or Mac: conda create -n deep-learning py...
本仓库主要包含code和docs两个文件夹(外加一些数据存放在data中)。其中code文件夹就是每章相关jupyter notebook代码;docs文件夹就是markdown格式的《Deep learning with PyTorch》(基本摘录版)书中的相关内容的中文翻译,然后利用docsify将网页文档部署到GitHub Pages上。欢迎对本项目做出贡献或提出issue。
labmlai / annotated_deep_learning_paper_implementations Star 60.1k Code Issues Pull requests Discussions 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelie...
The purpose of this silly problem is to provide the basic intution behind models, cost, accuracy, and optimization principles behind machine learning. Overview Deep Learning Principles input model function cost function optimization method PyTorch ...