Mastering TensorFlow Tensors in 5 Easy Steps | by Orhan G. Yalçın | Oct, 2020 | Towards Data Science
https://towardsdatascience.com/mastering-tensorflow-tensors-in-5-easy-steps-35f21998bb86
https://towardsdatascience.com/mastering-tensorflow-tensors-in-5-easy-steps-35f21998bb86
Deep Reinforcement Learning: CS 285 Fall 2020
https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc
https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc
Machine learning articles on arXiv now have a Code tab to link official and community code with the paper
https://medium.com/paperswithcode/papers-with-code-partners-with-arxiv-ecc362883167
https://medium.com/paperswithcode/papers-with-code-partners-with-arxiv-ecc362883167
Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
این سایت را هر بار که باز کنید یا رفرش کنید یک چهره ی جدید به شما نشان میدهد که نکته ی جالبش اینه که چهره ها وجود خارجی نداشته و توسط شبکه های GAN تولید شده اند...
https://thispersondoesnotexist.com/
https://thispersondoesnotexist.com/
Forwarded from Tensorflow(@CVision) (Vahid Reza Khazaie)
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AdaBelief Optimizer: fast as Adam, generalizes as good as SGD, and sufficiently stable to train GANs. (NeurIPS 2020)
Project page: https://juntang-zhuang.github.io/adabelief/
Paper: https://arxiv.org/abs/2010.07468
GitHub: https://github.com/juntang-zhuang/Adabelief-Optimizer
Project page: https://juntang-zhuang.github.io/adabelief/
Paper: https://arxiv.org/abs/2010.07468
GitHub: https://github.com/juntang-zhuang/Adabelief-Optimizer
“Deploying a Text Classifier with TensorFlow Serving + Docker in 2.0” by Mandy Gu https://towardsdatascience.com/deploying-a-text-classifier-with-tensorflow-serving-docker-in-2-0-cba6851e46ed
Medium
Deploying a Text Classifier with TensorFlow Serving + Docker in 2.0
In this tutorial, we streamline model predictions with an API endpoint that accepts a raw string for inferencing. We also experiment with…
Recent developments in neuroscience and the successes of artificial neural networks have reinvigorated interest in whether backpropagation offers insights for understanding learning in the cortex.
https://pubmed.ncbi.nlm.nih.gov/32303713/
https://pubmed.ncbi.nlm.nih.gov/32303713/
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Performer, a generalized attention framework based on the Transformer architecture, which implements the novel FAVOR+ algorithm to provide linearly scalable, low-variance and unbiased estimation of attention mechanisms.
https://ai.googleblog.com/2020/10/rethinking-attention-with-performers.html?m=1
https://ai.googleblog.com/2020/10/rethinking-attention-with-performers.html?m=1
Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
Neural-Network Can Identify a Melody Through Musicians' Body Movements
https://interestingengineering.com/neural-network-can-identify-a-melody-through-musicians-body-movements
https://interestingengineering.com/neural-network-can-identify-a-melody-through-musicians-body-movements
Interesting Engineering
Neural-Network Can Identify a Melody Through Musicians' Body Movements
When watching a group of musicians, we differentiate who is playing with the help of our eyes. Researchers developed a new AI tool that just imitates this process.
The first AI model that translates 100 languages without relying on English data
https://ai.facebook.com/blog/introducing-many-to-many-multilingual-machine-translation
https://ai.facebook.com/blog/introducing-many-to-many-multilingual-machine-translation
Meta
The first AI model that translates 100 languages without relying on English data
Facebook AI is introducing M2M-100, the first multilingual machine translation model that can translate between any pair of 100 languages without relying on English data.
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On-device Supermarket Product Recognition
https://ai.googleblog.com/2020/07/on-device-supermarket-product.html?m=1
https://ai.googleblog.com/2020/07/on-device-supermarket-product.html?m=1
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The art of data visualization
What Twitter learned from the Recsys 2020 Challenge
https://towardsdatascience.com/what-twitter-learned-from-the-recsys-2020-challenge-d3ae2f7ccf0f
https://towardsdatascience.com/what-twitter-learned-from-the-recsys-2020-challenge-d3ae2f7ccf0f
DeepMind open-sources Lab2D, a grid-based environment for reinforcement learning research | VentureBeat
https://venturebeat.com/2020/11/16/deepmind-open-sources-lab2d-a-grid-based-environment-for-reinforcement-learning-research/
https://venturebeat.com/2020/11/16/deepmind-open-sources-lab2d-a-grid-based-environment-for-reinforcement-learning-research/
VentureBeat
DeepMind open-sources Lab2D, a grid-based environment for reinforcement learning research
DeepMind has open-sourced Lab2D, a grid-based software environment optimized for reinforcement learning research.
Facebook Building Automatic Differentiation System for Kotlin Programming Language
https://ai.facebook.com/blog/paving-the-way-for-software-20-with-kotlin/
https://ai.facebook.com/blog/paving-the-way-for-software-20-with-kotlin/
Facebook
Paving the way for Software 2.0 with Kotlin
As more engineers and developers explore Software 2.0, we’ve extended the Kotlin compiler to support differentiability and tensor typing.
تشخیص و حذف پلاک ماشین در آگهی های دیوار.
https://virgool.io/@divar/%D8%AA%D8%B4%D8%AE%DB%8C%D8%B5-%D9%BE%D9%84%D8%A7%DA%A9-%D8%AF%D8%B1-%D8%A2%DA%AF%D9%87%DB%8C%D9%87%D8%A7%DB%8C-%D8%AE%D9%88%D8%AF%D8%B1%D9%88-%D8%A8%D8%A7-%D8%A7%D8%B3%D8%AA%D9%81%D8%A7%D8%AF%D9%87-%D8%A7%D8%B2-%D8%A8%DB%8C%D9%86%D8%A7%DB%8C%DB%8C-%D9%85%D8%A7%D8%B4%DB%8C%D9%86-r2hiofdxthb6
https://virgool.io/@divar/%D8%AA%D8%B4%D8%AE%DB%8C%D8%B5-%D9%BE%D9%84%D8%A7%DA%A9-%D8%AF%D8%B1-%D8%A2%DA%AF%D9%87%DB%8C%D9%87%D8%A7%DB%8C-%D8%AE%D9%88%D8%AF%D8%B1%D9%88-%D8%A8%D8%A7-%D8%A7%D8%B3%D8%AA%D9%81%D8%A7%D8%AF%D9%87-%D8%A7%D8%B2-%D8%A8%DB%8C%D9%86%D8%A7%DB%8C%DB%8C-%D9%85%D8%A7%D8%B4%DB%8C%D9%86-r2hiofdxthb6
ویرگول
تشخیص پلاک در آگهیهای خودرو با استفاده از بینایی ماشین-بخش اول
یکی از دغدغههای مهم ما در تیم خودرو دیوار، عدم نمایش پلاک خودروها در آگهیها است در اینجا سعی کردهایم به بیان صورت مسئله دیتایی بپردازیم