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Source channel @githubtrending · Post #14835 · Jun 17

#jupyter_notebook#jax Flax is a library for creating neural networks with JAX. It offers a flexible way to build and analyze these networks. The new Flax NNX API makes it easier to work with neural networks by using regular Python objects, which helps in creating, debugging, and analyzing models more efficiently. This means users can express their models in a more intuitive way, making it simpler to develop and modify neural networks. Flax also provides many tools and examples to help users get started quickly. https://github.com/google/flax

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Новая работа для регулярного выпуска👇 🟢 2022 🟢 V. 9 🟢 Issue 4 🟢 No. 20229414🟢 Article 📜 Novel Nb5+-doped hexagonal perovskite Ba5In2Al2ZrO13 (structure, hydration, electrical conductivity) 👩‍🎓👨‍🎓 R.D. Andreev (https://orcid.org/0000-0001-7131-0442), D.V. Korona (https://orcid.org/0000-0001-5422-717X), I.A. Anokhina (https://orcid.org/0000-0002-4223-6201), I.E. Animitsa (https://orcid.org/0000-0002-0757-9241) 🏛 Ural Federal University, https://urfu.ru/en@urfu_ru 🏛 Institute of High Temperature Electrochemistry, http://www.ihte.uran.ru/?page_id=3106 @ihteubras 📚#hexagonal#perovskite#proton#conductivity#hydration#transport 🔗https://doi.org/10.15826/chimtech.2022.9.4.14 https://journals.urfu.ru/index.php/chimtech/article/view/6200