Hacker News
- Dive into Deep Learning: Interactive deep learning book with codes and maths https://d2l.ai/ 10 comments
- Dive into Deep Learning https://d2l.ai/ 89 comments
- Dive into Deep Learning: Berkeley Course http://d2l.ai/chapter_introduction/index.html 14 comments
- Learning ML https://d2l.ai/index.html 6 comments learnmachinelearning
- overwhhelmed by deep learning https://d2l.ai 87 comments learnmachinelearning
- Dive into Deep Learning (2023) https://d2l.ai/ 11 comments learnmachinelearning
- Connection between Softmax and log-likelihood http://d2l.ai/chapter_linear-networks/softmax-regression.html#log-likelihood 4 comments learnmachinelearning
- Is there any good tutorial website for Pytorch or Tensorflow like d2l.ai? http://d2l.ai/ 4 comments deeplearning
- Dive into Deep Learning. An interactive deep learning book for students, engineers, and researchers. We thank all the community contributors for making this open source book better for everyone. https://d2l.ai/ 7 comments programming
- Berkeley 2019 DL Course http://d2l.ai 6 comments learnmachinelearning
Linking pages
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-machine-learning 46 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- Ideas for Programmers Looking Beyond Web Development | kipply's blog https://carolchen.me/blog/past-webdev/ 30 comments
- GitHub - HiteshGorana/DataScience365: DataScience365 https://github.com/HiteshGorana/DataScience365 6 comments
- Amazon scientists author popular deep-learning book - Amazon Science https://www.amazon.science/latest-news/amazon-scientists-author-popular-deep-learning-book 5 comments
- free-programming-books/free-programming-books-subjects.md at main · EbookFoundation/free-programming-books · GitHub https://github.com/EbookFoundation/free-programming-books/blob/main/books/free-programming-books-subjects.md 3 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2023 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-machine-learning-in-2020 2 comments
- Now in Preview – Amazon SageMaker Studio Lab, a Free Service to Learn and Experiment with ML | AWS News Blog https://aws.amazon.com/blogs/aws/now-in-preview-amazon-sagemaker-studio-lab-a-free-service-to-learn-and-experiment-with-ml/ 1 comment
- GitHub - zackchase/mxnet-the-straight-dope: An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/. https://github.com/zackchase/mxnet-the-straight-dope 1 comment
- GitHub - vlgiitr/DL_Topics: List of DL topics and resources essential for cracking interviews https://github.com/vlgiitr/DL_Topics 1 comment
- GitHub - EssenceSentry/awesome-web-resources: List of awesome web resources. https://github.com/TheEssenceSentry/awesome-web-resources 0 comments
- Recommendations for Engineers - Pawel Cislo https://pawelcislo.com/recommendations/ 0 comments
- GitHub - Nyandwi/machine_learning_complete: A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques. https://github.com/Nyandwi/machine_learning_complete 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- Train,Test, and Validation Sets https://mlu-explain.github.io/train-test-validation/ 0 comments
- Dive into Deep Learning adds attention mechanism chapter - Amazon Science https://www.amazon.science/latest-news/dive-into-deep-learning-adds-attention-mechanism-chapter 0 comments
- GitHub - HuaizhengZhang/Awesome-System-for-Machine-Learning: A curated list of research in machine learning systems (MLSys). Paper notes are also provided. https://github.com/HuaizhengZhang/Awesome-System-for-Machine-Learning 0 comments
- Machine Learning University expands with MLU Explains - Amazon Science https://www.amazon.science/latest-news/amazon-machine-learning-university-new-courses-mlu-explains 0 comments