Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
#معرفی_گروه
Deep Intelligence Talk
به گروه تخصصی زبان انگلیسی که در زمینه ی نروساینس ، هوش مصنوعی (دیپ لرنینگ ، بینایی ماشین و.....)علوم شناختی کاربرد هوش مصنوعی در پزشکی و.... ، با همکاری منتورهای سایت coursera , uacity و... ایجاد شده است بپیوندید
https://t.iss.one/joinchat/CuFqkRQSxRy5M_6KxhKrCA
🙏Thanks to: @neuroscience_Cognitive
Deep Intelligence Talk
به گروه تخصصی زبان انگلیسی که در زمینه ی نروساینس ، هوش مصنوعی (دیپ لرنینگ ، بینایی ماشین و.....)علوم شناختی کاربرد هوش مصنوعی در پزشکی و.... ، با همکاری منتورهای سایت coursera , uacity و... ایجاد شده است بپیوندید
https://t.iss.one/joinchat/CuFqkRQSxRy5M_6KxhKrCA
🙏Thanks to: @neuroscience_Cognitive
If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"
Here is a reading roadmap of Deep Learning papers!
https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
Here is a reading roadmap of Deep Learning papers!
https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
GitHub
GitHub - floodsung/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! - floodsung/Deep-Learning-Papers-Reading-Roadmap
A Discussion about how today’s best thinkers apply key principles to make decisions and how education and gamification create a bond between the creator and the user.
https://youtu.be/t7LGHfDIT44
https://youtu.be/t7LGHfDIT44
YouTube
Udacity Thought Leader Series: Bing Gordon, KPCB's CPO on the Future of Education & Human Potential
Join Bing Gordon, Chief Product Officer at KPCB, and Sebastian Thrun, Executive Chairman at Udacity, as they sit down together to discuss how today’s best th...
Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
Language, trees, and geometry in neural networks
A visualization technique to understand BERT.
https://twitter.com/burkov/status/1139391818443808769
#bert #NLP
A visualization technique to understand BERT.
https://twitter.com/burkov/status/1139391818443808769
#bert #NLP
Twitter
Andriy Burkov
A visualization technique to understand BERT. https://t.co/kP5QPBcdlG
An Introduction to Evolution Strategies:
https://openaccess.leidenuniv.nl/bitstream/handle/1887/12981/01.pdf?sequence=6
https://openaccess.leidenuniv.nl/bitstream/handle/1887/12981/01.pdf?sequence=6
A brief overview of Learning to Learn related algorithms:
https://bair.berkeley.edu/blog/2017/07/18/learning-to-learn/
https://bair.berkeley.edu/blog/2017/07/18/learning-to-learn/
The Berkeley Artificial Intelligence Research Blog
Learning to Learn
The BAIR Blog
This is curated collection of free places where you can learn about deep-learning. If you've always wanted to learn about deep-learning but don't know where to start, you might have stumbled upon the right place!
https://mithi.github.io/deep-blueberry/ch0-introduction.html
https://mithi.github.io/deep-blueberry/ch0-introduction.html
Deep Learning for Sentiment Analysis: A Survey
https://arxiv.org/ftp/arxiv/papers/1801/1801.07883.pdf
Sentiment Analysis Benchmark Datasets & State of the art papers:
https://github.com/sebastianruder/NLP-progress/blob/master/english/sentiment_analysis.md
https://arxiv.org/ftp/arxiv/papers/1801/1801.07883.pdf
Sentiment Analysis Benchmark Datasets & State of the art papers:
https://github.com/sebastianruder/NLP-progress/blob/master/english/sentiment_analysis.md
GitHub
NLP-progress/sentiment_analysis.md at master · sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. - NLP-progress/sentiment_analysis.md at...
Forwarded from The Devs
Forwarded from School of AI
zisserman-self-supervised.pdf
9.1 MB
A tutorial on Self-supervised Learning by Andrew Zisserman from Google Deep Mind.
Talks in ICML2019:
https://www.facebook.com/icml.imls/videos/2030095370631729/
Talks in ICML2019:
https://www.facebook.com/icml.imls/videos/2030095370631729/
An overview of old and new nlp pretrained models use-cases (Excluding XLNet):
https://www.youtube.com/watch?v=0EtD5ybnh_s
#NLP
https://www.youtube.com/watch?v=0EtD5ybnh_s
#NLP
YouTube
Language Learning with BERT - TensorFlow and Deep Learning Singapore
Speaker: Martin Andrews
Event Page: https://www.meetup.com/TensorFlow-and-Deep-Learning-Singapore/events/256431012/
Produced by Engineers.SG
Help us caption & translate this video!
https://amara.org/v/mToR/
Event Page: https://www.meetup.com/TensorFlow-and-Deep-Learning-Singapore/events/256431012/
Produced by Engineers.SG
Help us caption & translate this video!
https://amara.org/v/mToR/
Empirically, XLNet outperforms BERT on 20 tasks, often by a large margin, and achieves state-of-the-art results on 18 tasks including question answering, natural language inference, sentiment analysis, and document ranking.
https://arxiv.org/abs/1906.08237#
#NLP
https://arxiv.org/abs/1906.08237#
#NLP
arXiv.org
XLNet: Generalized Autoregressive Pretraining for Language Understanding
With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language...