Feature visualizations, letting us see through the eyes of the neural network:
https://distill.pub/2019/activation-atlas/
https://distill.pub/2019/activation-atlas/
Distill
Activation Atlas
By using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned and what concepts it typically represents.
#TensorFlow Lite running on a Cortex M4 developer board, handling simple speech keyword recognition
https://petewarden.com/2019/03/07/launching-tensorflow-lite-for-microcontrollers/
https://petewarden.com/2019/03/07/launching-tensorflow-lite-for-microcontrollers/
Pete Warden's blog
Launching TensorFlow Lite for Microcontrollers
I’ve been spending a lot of my time over the last year working on getting machine learning running on microcontrollers, and so it was great to finally start talking about it in public for the…
A step-by-step #tutorial showing how to perform #FederatedLearning using the same infrastructure #Google uses on 10s of millions of smartphones with #TensorFlow
https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041
https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041
Medium
Introducing TensorFlow Federated
Posted by Alex Ingerman (Product Manager) and Krzys Ostrowski (Research Scientist)
Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
#آموزش #ویدیو #سورس_کد
اسلایدها:
https://www.slideshare.net/Alirezaakhavanpour/deep-face-recognition-oneshot-learning
تشخیص چهره- بخش اول- علیرضا اخوان پور-1
•one-shot learning: Face Verification & Recognition
•Siamese network
•facenet triplet loss
https://www.aparat.com/v/xdC7r
تشخیص چهره - علیرضا اخوان پور - بخش دوم
• one-shot learning: Face Verification & Recognition
• Discriminative Feature
• Center loss
https://www.aparat.com/v/qmo3u
کدهای این ارائه
در گیت هاب هوش پارت و همچنین آدرس گیت هاب زیر موجود است:
https://github.com/Alireza-Akhavan/deep-face-recognition
🙏Thanks to: @partdpai
#face #face_recognition #verification
اسلایدها:
https://www.slideshare.net/Alirezaakhavanpour/deep-face-recognition-oneshot-learning
تشخیص چهره- بخش اول- علیرضا اخوان پور-1
•one-shot learning: Face Verification & Recognition
•Siamese network
•facenet triplet loss
https://www.aparat.com/v/xdC7r
تشخیص چهره - علیرضا اخوان پور - بخش دوم
• one-shot learning: Face Verification & Recognition
• Discriminative Feature
• Center loss
https://www.aparat.com/v/qmo3u
کدهای این ارائه
در گیت هاب هوش پارت و همچنین آدرس گیت هاب زیر موجود است:
https://github.com/Alireza-Akhavan/deep-face-recognition
🙏Thanks to: @partdpai
#face #face_recognition #verification
www.slideshare.net
Deep face recognition & one-shot learning
خرید دوره: http://class.vision/deep-face-recognition/ one-shot learning and Face Verification Recognition Siamese network Discriminative Feature Facenet pape…
A new summary of The Evolved #Transformer
The recipe:
1. Take the human-designed Transformer
2. Add a new neural architecture search - PDH
3. Whisk with ~200 TPUs to get a much better model - #ET
https://www.lyrn.ai/2019/03/12/the-evolved-transformer/
The recipe:
1. Take the human-designed Transformer
2. Add a new neural architecture search - PDH
3. Whisk with ~200 TPUs to get a much better model - #ET
https://www.lyrn.ai/2019/03/12/the-evolved-transformer/
Lyrn.AI
The Evolved Transformer – Enhancing Transformer with Neural Architecture Search | Lyrn.AI
Neural architecture search (NAS) is the process of algorithmically searching for new designs of neural networks. Though researchers have developed sophisticated architectures over the years, the ability to find the most efficient ones is limited, and recently…
Rich Sutton the Bitter Lesson
http://www.incompleteideas.net/IncIdeas/BitterLesson.html
Whiteson, who strongly disagrees with Sutton's point of view, believes that the history of AI teaches us that leveraging computation always eventually wins out over leveraging human knowledge.
Sutton says that the intrinsic complexity of the world means we shouldn’t build prior knowledge into our systems. But I conclude the exact opposite: that complexity leads to crippling intractability for the search and learning approaches on which Sutton proposes to rely.
https://twitter.com/shimon8282/status/1106534178676506624?s=19
http://www.incompleteideas.net/IncIdeas/BitterLesson.html
Whiteson, who strongly disagrees with Sutton's point of view, believes that the history of AI teaches us that leveraging computation always eventually wins out over leveraging human knowledge.
Sutton says that the intrinsic complexity of the world means we shouldn’t build prior knowledge into our systems. But I conclude the exact opposite: that complexity leads to crippling intractability for the search and learning approaches on which Sutton proposes to rely.
https://twitter.com/shimon8282/status/1106534178676506624?s=19
Twitter
Shimon Whiteson
Rich Sutton has a new blog post entitled “The Bitter Lesson” (https://t.co/K3GEgyGsD4) that I strongly disagree with. In it, he argues that the history of AI teaches us that leveraging computation always eventually wins out over leveraging human knowledge.
پنج لکچر ابتدایی کورس cs224n استنفورد -زمستان ۲۰۱۹ (پردازش زبان طبیعی) منتشر شد.
ویدئوهای بعدی نیز تا زمان اتمام رسمی این کورس منتشر خواهند شد
https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z
ویدئوهای بعدی نیز تا زمان اتمام رسمی این کورس منتشر خواهند شد
https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z
YouTube
Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
توصیه می کنم این مطلب (گفتگوی انجام شده در نظرات) را تا پیش از تعطیلی Google+ بخوانید و از دست ندهید!
https://plus.google.com/104362980539466846301/posts/JBBFfv2XgWM
https://plus.google.com/104362980539466846301/posts/JBBFfv2XgWM
🌼🍃🌸🍃🌺🍃🌸🍃🌺
🍃🌺🍃🌸🍃🌺
🌺🍃🌸
🌸
ای تغییر دهنده دلها و دیده ها * ای مدبر شب و روز * ای گرداننده سال و حالت ها * بگردان حال ما را به نیکوترین حال
سال نو را تبریک عرض میکنیم.
سالی پر از معنویت، شادی، موفقیت و سلامتی را برایتان آرزومندیم.
@irandeeplearning
🌸
🌺🍃🌸
🍃🌺🍃🌸🍃🌺
🌼🍃🌸🍃🌺🍃🌸🍃🌺🌸
🍃🌺🍃🌸🍃🌺
🌺🍃🌸
🌸
ای تغییر دهنده دلها و دیده ها * ای مدبر شب و روز * ای گرداننده سال و حالت ها * بگردان حال ما را به نیکوترین حال
سال نو را تبریک عرض میکنیم.
سالی پر از معنویت، شادی، موفقیت و سلامتی را برایتان آرزومندیم.
@irandeeplearning
🌸
🌺🍃🌸
🍃🌺🍃🌸🍃🌺
🌼🍃🌸🍃🌺🍃🌸🍃🌺🌸
Forwarded from Ali Diba
If you want to learn machine learning you can now just go on http://PyTorch.org and run the tutorials directly into your own notebook with a CPU or GPU provided by Google in Colab cloud.
مجموعه دادگان پرسشهای ریاضی برای آموزش شبکه های عصبی
https://github.com/deepmind/mathematics_dataset
https://arxiv.org/abs/1904.01557
#Mathematics #dataset
#DeepMind
https://github.com/deepmind/mathematics_dataset
https://arxiv.org/abs/1904.01557
#Mathematics #dataset
#DeepMind
Forwarded from Iranian Women in Computing
IranWiC is currently looking for mentors to guide our community members in different areas including but not limited to Graduate School related support, Job Seeking in industry and academia and Professional Development.
The goal of the IranWiC Mentorship Program is to support Iranian women studying and working in Computing and Technology related areas at different stages of their professional life by connecting them with a mentor from the community in order to enhance their professional growth, overcome challenges and learn new skills under the guidance and advice of a more experienced member.
If you are an experienced graduate student, scholar, academia or industry professional and are interested to become a mentor in our program, please fill out this form.
Please note that our Mentor Application is open to Men and Women.
#Mentorship
https://docs.google.com/forms/d/e/1FAIpQLSc4lHjd8wyL5ejCQQy_byKGeeQv3XH52cysNSseIAkmn6jgkQ/viewform?fbclid=IwAR3J4SQvviCfFeTXXU45yK6AaAuehYVIEGmUzy3zK60sSirn86DpLlbDFOw
The goal of the IranWiC Mentorship Program is to support Iranian women studying and working in Computing and Technology related areas at different stages of their professional life by connecting them with a mentor from the community in order to enhance their professional growth, overcome challenges and learn new skills under the guidance and advice of a more experienced member.
If you are an experienced graduate student, scholar, academia or industry professional and are interested to become a mentor in our program, please fill out this form.
Please note that our Mentor Application is open to Men and Women.
#Mentorship
https://docs.google.com/forms/d/e/1FAIpQLSc4lHjd8wyL5ejCQQy_byKGeeQv3XH52cysNSseIAkmn6jgkQ/viewform?fbclid=IwAR3J4SQvviCfFeTXXU45yK6AaAuehYVIEGmUzy3zK60sSirn86DpLlbDFOw
Google Docs
IranWiC Mentor Application Form
The goal of the IranWiC Mentorship Program is to support Iranian women studying and working in Computing and Technology related areas at different stages of their professional life by connecting them with a mentor from the community in order to enhance their…
Forwarded from Ai Events️ (Hamid Mahmoodabadi)
سخنرانی آقای محسن فیاض دانشجوی دکتری دانشگاه Bonn با موضوع
Weakly Supervised Action Segmentation Using Mutual Consistency
دوشنبه ۲۶ فرورین، ساعت ۱۲ الی ۱۴
اتاق ۸۰۱ ساختمان جدید دانشکده برق و کامپیوتر دانشگاه تهران
@Ai_Events
Weakly Supervised Action Segmentation Using Mutual Consistency
دوشنبه ۲۶ فرورین، ساعت ۱۲ الی ۱۴
اتاق ۸۰۱ ساختمان جدید دانشکده برق و کامپیوتر دانشگاه تهران
@Ai_Events
Forwarded from Reza Kakhki
https://github.com/pytorch/pytorch/releases
Official TensorBoard Support, Attributes, Dicts, Lists and User-defined types in JIT / TorchScript, Improved Distributed
Official TensorBoard Support, Attributes, Dicts, Lists and User-defined types in JIT / TorchScript, Improved Distributed
GitHub
Releases · pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch
درخواست برای تغییر مکان برگزاری کنفرانس های علوم کامپیوتر از امریکا به دیگر نقاط دنیا جهت دسترسی همه محققین
در صورت امکان لطفا امضا کنید
https://www.change.org/p/conference-organizers-abandon-united-states-as-the-venue-for-computer-science-conferences-4187daa3-e4f2-42a1-85dc-fe49641c4026?recruiter=false&utm_source=share_petition&utm_medium=twitter&utm_campaign=psf_combo_share_initial&utm_term=share_petition&recruited_by_id=0a1dae20-6dbb-11e9-9fac-5b67a3a1a8bb&share_bandit_exp=initial-15283214-en-US&share_bandit_var=v1
در صورت امکان لطفا امضا کنید
https://www.change.org/p/conference-organizers-abandon-united-states-as-the-venue-for-computer-science-conferences-4187daa3-e4f2-42a1-85dc-fe49641c4026?recruiter=false&utm_source=share_petition&utm_medium=twitter&utm_campaign=psf_combo_share_initial&utm_term=share_petition&recruited_by_id=0a1dae20-6dbb-11e9-9fac-5b67a3a1a8bb&share_bandit_exp=initial-15283214-en-US&share_bandit_var=v1
Change.org
Sign the Petition
Abandon United States as a venue for computer science conferences.
Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & Retrieval
https://ai.googleblog.com/2019/05/announcing-google-landmarks-v2-improved.html
https://ai.googleblog.com/2019/05/announcing-google-landmarks-v2-improved.html
research.google
Announcing Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & R
Posted by Bingyi Cao and Tobias Weyand, Software Engineers, Google AI Last year we released Google-Landmarks, the largest world-wide landmark rec...
ICLR 2019: Overcoming limited data – Towards Data Science
https://towardsdatascience.com/iclr-2019-overcoming-limited-data-382cd19db6d2
https://towardsdatascience.com/iclr-2019-overcoming-limited-data-382cd19db6d2
Medium
ICLR 2019: Overcoming limited data
Deep learning has proven powerful at many tasks, but requires massive amounts of data. However a number of new techniques are emerging
The World’s First All On-Device, Deep Neural Net, and Realtime Video Recognition App
Amazon Alexa, Apple Siri or Google Lens are still not perfect since users data has to travel out from their smartphone to providers’ cloud.
Sensifai launched a real-time, deep-neural, end-to-end, on-device video recognizer using Huawei Kirin980 chipsets that elevates AI capabilities of Huawei flagship smartphones to a whole new level.
https://consumer.huawei.com/en/community/details/?topicId=7444
Amazon Alexa, Apple Siri or Google Lens are still not perfect since users data has to travel out from their smartphone to providers’ cloud.
Sensifai launched a real-time, deep-neural, end-to-end, on-device video recognizer using Huawei Kirin980 chipsets that elevates AI capabilities of Huawei flagship smartphones to a whole new level.
https://consumer.huawei.com/en/community/details/?topicId=7444