From Research to Production with Deep Semi-Supervised Learning
https://medium.com/@nairvarun18/from-research-to-production-with-deep-semi-supervised-learning-7caaedc39093
https://medium.com/@nairvarun18/from-research-to-production-with-deep-semi-supervised-learning-7caaedc39093
Medium
From Research to Production with Deep Semi-Supervised Learning
Semi-Supervised Learning (SSL) has blossomed in the deep learning research community — we share lessons learned taking SSL into production.
Forwarded from Tensorflow(@CVision) (Vahid Reza Khazaie)
YouTube
GANs for Good- A Virtual Expert Panel by DeepLearning.AI
Welcome to GANs for Good- a virtual expert panel hosted by DeepLearning.AI!
To celebrate the launch of GANs Specialization, we’ve assembled a panel of GANs experts. They will discuss some of their current projects and the importance and future of GANs and…
To celebrate the launch of GANs Specialization, we’ve assembled a panel of GANs experts. They will discuss some of their current projects and the importance and future of GANs and…
Forwarded from اخبار فوری / مهم 🔖
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🎥 اولین موزیکویدیوی ساختهشده با هوش مصنوعی در ایران
🔹با صدای همایون شجریان و هنرنمایی چهرههای نامآشنا
✅ @akhbare_fouri
🔹با صدای همایون شجریان و هنرنمایی چهرههای نامآشنا
✅ @akhbare_fouri
NVIDIA Jarvis, an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.
https://developer.nvidia.com/nvidia-jarvis
https://developer.nvidia.com/nvidia-jarvis
Transforming sounds into musical instruments used in a variety of styles, from Baroque to jazz using machine learning, created by the Magenta and AIUX team within Google Research.
https://sites.research.google/tonetransfer
Intro Video:
https://youtu.be/bXBliLjImio
Blog post:
https://magenta.tensorflow.org/ddsp
Colab:
https://colab.research.google.com/github/magenta/ddsp/blob/master/ddsp/colab/demos/timbre_transfer.ipynb
https://github.com/magenta/ddsp/tree/master/ddsp/colab/tutorials
Github:
https://github.com/magenta/ddsp
https://sites.research.google/tonetransfer
Intro Video:
https://youtu.be/bXBliLjImio
Blog post:
https://magenta.tensorflow.org/ddsp
Colab:
https://colab.research.google.com/github/magenta/ddsp/blob/master/ddsp/colab/demos/timbre_transfer.ipynb
https://github.com/magenta/ddsp/tree/master/ddsp/colab/tutorials
Github:
https://github.com/magenta/ddsp
How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems
https://www.kdnuggets.com/2020/10/linkedin-machine-learning-recruiter-recommendation-systems.html
https://www.kdnuggets.com/2020/10/linkedin-machine-learning-recruiter-recommendation-systems.html
KDnuggets
How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems
LinkedIn uses some very innovative machine learning techniques to optimize candidate recommendations.
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