Dive into Deep learning (D2L.ai) @D2L_ai
Interactive deep learning book with multi-framework code, math, and discussions. @astonzhangAZ @zacharylipton @mli65 @smolix D2L.ai Joined February 2020-
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Thrilled that our 'Dive into Deep Learning' book, now published by Cambridge University Press, is the Top New Release on Amazon! To ensure accessibility and affordability, we, the authors, have waived our royalties. Plus, it's always available for free at D2L.ai
Welcome aboard!
Chinese version 2.0🎉 zh.d2l.ai 🙏37k stars, 248 contributors, multi-frameworks by & for our growing community: 🆙Upgraded physical book featuring @PyTorch implementation @AmazonScience 🆕New @paddlepaddle_ implementation by @Baidu_Inc, reviewer @DavenCheung
Announcing the Preview Edition of Dive into Deep Learning @D2L_ai containing our nightly builds. Check them out at preview.d2l.ai/d2l-en/master/. Thanks @mli65 @astonzhangAZ @zacharylipton @gollum_here @goldpiggy95 and many volunteers for all the work!
The deep learning field has been growing fast. Our D2L book just added topics on scalability of transformers and very recent large-scale pretraining methods: d2l.ai/chapter_attent… More updates are on the way 😃
The deep learning field has been growing fast. Our D2L book just added topics on scalability of transformers and very recent large-scale pretraining methods: d2l.ai/chapter_attent… More updates are on the way 😃
While ConvNeXt (2022) further sparks the debate between CNNs and transformers for vision, D2L.ai added a CNN design section covering ResNeXt-itication @sainingxie et al, RegNets Radosavovic et al, ConvNeXt @liuzhuang1234 et al. Preview at: preview.d2l.ai/d2l-en/master/…
The #Portuguese translation for #D2L is up at pt.d2l.ai. Muito obrigado a @dalcimar, Lucas Hendges e Fabio Kurpel por seu excelente trabajo! Join us on github.com/d2l-ai/d2l-pt.
Introducing a new option to run the D2L book for free: using SageMaker Studio Lab d2l.ai
It's not the lack of resources that holds back people from getting started with deep learning. It's a combination of procrastination and lack of guidance. This is why my top recommendation is "Dive into Deep Learning". It gets you going right away! d2l.ai
Looks like the excellent #DeepLearning book by @astonzhangAZ @zacharylipton @mli65 @smolix has been published to arXiv! arxiv.org/abs/2106.11342 While the book is thought for online reading at d2l.ai, I still think that having a printable version is Big News!
The Chinese translation of D2L (Chap 1--8) is available, with implementations in @ApacheMXNet, @PyTorch and @TensorFlow! 《动手学深度学习》第二版预览版：zh-v2.d2l.ai GitHub地址：github.com/d2l-ai/d2l-zh
The d2l.ai chapter on Attention just got a lot more attention. d2l.ai/chapter_attent… now including Bahdanau attention, Watson Nadaraya, Self-attention and much more background. Just in time for school! Thanks @astonzhangAZ and everyone on the @D2L_ai team.
Check out our brand-new attention chapter, such as simpler illustrations using Nadaraya-Watson kernel regression (1964) before Bahdanau attention. Now PyTorch adaptation is complete for Vol.1. The first 1/3 part is also translated into Chinese and Turkish. D2L.ai
Dive into Deep Learning v0.15.0 is released! More chapters are in PyTorch and TensorFlow. More chapters are close to v1.0. Adopted at 140 universities: if you use D2L to teach, apply for free computing resources by Nov 22. Check out D2L.ai
Dive into Deep Learning now supports @TensorFlow. The first 7 chapters are released today with more on their way. Special thanks to @TerryTangYuan and @NeurlAP for contributing code and our Google friends @JeffDean @DynamicWebPaige and @tomerk11. More at D2L.ai.
Dive into Deep Learning now supports @PyTorch. The first 8 chapters are ready with more on their way. Thanks to DSG IIT Roorkee @dsg_iitr, particularly @gollum_here who adapted the code into PyTorch. More at D2L.ai. @mli65 @smolix @zacharylipton @astonzhangAZ
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3K Followers 42 Following An open source, scalable, and portable #DeepLearning engine on a mission to democratize AI.The success of Amazon's open-source textbook @D2L_ai has inspired the scientific community to begin translating it into dozens of languages. Our latest blog post explains how to use Amazon Translate’s Active Custom Translation feature to simplify the process. #DeepLearning
Used by more than 400 universities worldwide, @D2L_ai is the first of its kind to provide an implementation of Google JAX. The update also contains three new chapters: reinforcement learning, Gaussian processes, and hyperparameter optimization. #DeepLearning
🎉Thank all developers of PaddlePaddle for their efforts, and we really appreciate @mli65 @astonzhangAZ and every developer of @D2L_ai. #PaddlePaddle is an open source deep learning platform originated from industrial practic. Looking forward to more developers joining us!
Chinese version 2.0🎉 zh.d2l.ai 🙏37k stars, 248 contributors, multi-frameworks by & for our growing community: 🆙Upgraded physical book featuring @PyTorch implementation @AmazonScience 🆕New @paddlepaddle_ implementation by @Baidu_Inc, reviewer @DavenCheung
Really enjoyed working on the TensorFlow implementation of the @D2L_ai book (in English) two years ago. It's also available in Chinese now!
Chinese version 2.0🎉 zh.d2l.ai 🙏37k stars, 248 contributors, multi-frameworks by & for our growing community: 🆙Upgraded physical book featuring @PyTorch implementation @AmazonScience 🆕New @paddlepaddle_ implementation by @Baidu_Inc, reviewer @DavenCheung
Announcing the Preview Edition of Dive into Deep Learning @D2L_ai containing our nightly builds. Check them out at preview.d2l.ai/d2l-en/master/. Thanks @mli65 @astonzhangAZ @zacharylipton @gollum_here @goldpiggy95 and many volunteers for all the work!
@wasimlorgat D2l.ai docs rock! Clear, organized, and multiple library examples. @D2L_ai
One of the best #resources (if not "the" best!) to learn and keep yourself updated to fast-growing field of Deep Learning is the "Dive Into Deep Learning" #book.
2019年頃から継続的に書き進められていた深層学習の無料の教科書「Dive into Deep Learning (D2L.ai)」のv1.0-alphaがついに公開されました。 PartiやMinervaなど最新の研究までカバーされています。
Dive into Deep Learning(D2L) 1.0.0 🔥🔥 D2L, a fantastic DL book is updated with new topics on recent trends in vision & language. My fav new topics - Designing CNNs Architectures - Transformers for vision - Large-Scale Pretraining with Transformers d2l.ai
👉FREE 1000-page #DeepLearning eBook PDF (updated July 2022) at D2L.ai ➕ interactive Multi-Framework Code, Math, and Discussions: github.com/d2l-ai/d2l-en ——— #BigData #DataScience #AI #MachineLearning #NeuralNetworks #DataScientists #Algorithms #100DaysOfCode
Our biggest update so far. New discussions on ResNeXt, RegNet, ConvNeXt, Vision Transformer, Swin Transformer, T5, GPT-1/2/3, zero/one/few-shot, Gato, Imagen, Minerva, and Parti. Thanks our 265 contributors 🙏
For last yr, we’ve gut renovated Dive into Deep Learning, reorganizing content, massively upgrading the prose, and pulling the multilingual support (for pytorch, tensorflow, mxnet & soon more) into a sexy new API inspired by @PyTorch Lightning. free @ d2l.ai
A lot of work went into this release. Loads of revised sections, new topics, simplified API.
Great release from @D2L_ai! Looking forward to playing around with transformers for vision and large-scale pretraining.
The #Portuguese translation for #D2L is up at pt.d2l.ai. Muito obrigado a @dalcimar, Lucas Hendges e Fabio Kurpel por seu excelente trabajo! Join us on github.com/d2l-ai/d2l-pt.
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