Linking pages
- Data Science 2020 - Highlights - by AbdulMajedRaja https://nulldata.substack.com/p/data-science-2020-highlights 1 comment
- Google Research: Looking Back at 2020, and Forward to 2021 – Google AI Blog https://ai.googleblog.com/2021/01/google-research-looking-back-at-2020.html 0 comments
- Introducing Model Search: An Open Source Platform for Finding Optimal ML Models – Google AI Blog https://ai.googleblog.com/2021/02/introducing-model-search-open-source.html 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 comments
- An End-to-End AutoML Solution for Tabular Data at KaggleDays – Google AI Blog https://ai.googleblog.com/2019/05/an-end-to-end-automl-solution-for.html 41 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- Transformer: A Novel Neural Network Architecture for Language Understanding – Google AI Blog https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html 3 comments
- EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling – Google AI Blog https://ai.googleblog.com/2019/05/efficientnet-improving-accuracy-and.html 0 comments
- Applying AutoML to Transformer Architectures – Google AI Blog https://ai.googleblog.com/2019/06/applying-automl-to-transformer.html 0 comments
- Makridakis Competitions - Wikipedia https://en.wikipedia.org/wiki/Makridakis_Competitions 0 comments
- Using Evolutionary AutoML to Discover Neural Network Architectures – Google AI Blog https://ai.googleblog.com/2018/03/using-evolutionary-automl-to-discover.html 0 comments
- Hyperparameter optimization - Wikipedia https://en.wikipedia.org/wiki/Hyperparameter_optimization 0 comments
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