Neither convolutions nor attention is necessary, Patches are enough
MLP-Mixer: An all-MLP Architecture for Vision
👉 Paper Link
@ai_python
MLP-Mixer: An all-MLP Architecture for Vision
👉 Paper Link
@ai_python
Jupytext - Jupyter notebooks as Markdown documents or Python scripts
https://www.wrighters.io/jupytext-notebooks-as-markdown-or-python/
https://www.wrighters.io/jupytext-notebooks-as-markdown-or-python/
wrighters.io
Jupytext - Jupyter notebooks as Markdown documents or Python scripts - wrighters.io
Jupytext is a Jupyter plugin that allows you to convert Jupyter notebooks to Markdown or Python script files and back again.
👍1
انتشار ویرایش سوم کتاب
Speech and Language Processing by Jurafsky and Martin
https://web.stanford.edu/~jurafsky/slp3/
#کتاب #منابع #پردازش_زبان_طبیعی #آموزش_کلاسی
#NLP #Book
❇️ @AI_Python
Speech and Language Processing by Jurafsky and Martin
https://web.stanford.edu/~jurafsky/slp3/
#کتاب #منابع #پردازش_زبان_طبیعی #آموزش_کلاسی
#NLP #Book
❇️ @AI_Python
38 منبع رایگان کورسرا برای علم داده
Link: https://www.kdnuggets.com/2021/10/38-free-courses-coursera-datascience.html
#منابع #علم_داده #فیلم #کلاس_آموزشی #آموزش_کلاسی
❇️ @AI_Python
Link: https://www.kdnuggets.com/2021/10/38-free-courses-coursera-datascience.html
#منابع #علم_داده #فیلم #کلاس_آموزشی #آموزش_کلاسی
❇️ @AI_Python
KDnuggets
38 Free Courses on Coursera for Data Science - KDnuggets
There are so many online resources for learning data science, and a great deal of it can be used at no cost. This collection of free courses hosted by Coursera will help you enhance your data science and machine learning skills, no matter your current level…
Reinforcement Learning and its Connections with Neuroscience and Psychology" has been accepted for publication to the Neural Networks Special Issue for AI and Brain Science!! Preprint can be found here:
https://arxiv.org/abs/2007.01099
#مقاله #یادگیری_تقویتی #نروساینس #روانشناسی
❇️ @AI_Python
https://arxiv.org/abs/2007.01099
#مقاله #یادگیری_تقویتی #نروساینس #روانشناسی
❇️ @AI_Python
Introducing Megatron-Turing NLG, the world’s largest and most powerful generative language model with 530 billion parameters.
https://nvda.ws/3v1B3bE
#مقاله #پردازش_زبان_طبیعی
#conversationalAI #NLP
❇️ @AI_Python
https://nvda.ws/3v1B3bE
#مقاله #پردازش_زبان_طبیعی
#conversationalAI #NLP
❇️ @AI_Python
👍1
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks (VL-NLE)
https://arxiv.org/abs/2105.03761
#پردازش_زبان_طبیعی #توضیح_پردازش_زبان_طبیعی #مقاله
❇️ @AI_Python
https://arxiv.org/abs/2105.03761
#پردازش_زبان_طبیعی #توضیح_پردازش_زبان_طبیعی #مقاله
❇️ @AI_Python
Machine learning offers high-definition glimpse of how genomes organize in #singlecells
https://phys.org/news/2021-10-machine-high-definition-glimpse-genomes-cells.html
#مقاله #یادگیری_ماشین #مقاله #ژنتیک #علوم_پزشکی
❇️ @AI_Python
https://phys.org/news/2021-10-machine-high-definition-glimpse-genomes-cells.html
#مقاله #یادگیری_ماشین #مقاله #ژنتیک #علوم_پزشکی
❇️ @AI_Python
AI as an API - Part 1
Learn how to turn a ML Trained Model into an REST API using Keras, FastAPI & NoSQL.
https://www.youtube.com/watch?v=56qQNcHJxyQ
#منابع #فیلم
❇️ @AI_Python
Learn how to turn a ML Trained Model into an REST API using Keras, FastAPI & NoSQL.
https://www.youtube.com/watch?v=56qQNcHJxyQ
#منابع #فیلم
❇️ @AI_Python
YouTube
AI as an API - Part 1 - Train an ML Model and turn it into an Rest API using Keras, FastAPI & NoSQL
AI as an API - Part 1 - Turn a ML Trained Model into an Rest API using Keras, FastAPI & NoSQL
PART 2: https://youtu.be/nTdMjFcK3SM
Learn to create & deploy a deep learning algorithm into a production REST API using Python, Keras, FastAPI, & NoSQL.
⦿ Build…
PART 2: https://youtu.be/nTdMjFcK3SM
Learn to create & deploy a deep learning algorithm into a production REST API using Python, Keras, FastAPI, & NoSQL.
⦿ Build…
👍2
12 عمل که کیفیت داده ها را بالا ببریم
https://buff.ly/3BuBEoX
#منابع #آموزش_کلاسی #آموزش
❇️ @AI_Python
https://buff.ly/3BuBEoX
#منابع #آموزش_کلاسی #آموزش
❇️ @AI_Python
Forwarded from Django Expert (Mohammad Babazadeh)
💵 درآمد برنامه نویسی چقدر هست؟
در این ویدئو راجع به معامله هایی که توی اتاق هایی با درهای بسته انجام میشه، صحبت میکنیم 😎💰
🖥 مشاهده در یوتوب:
👉 Link: https://youtu.be/uwJpBPqyBzI
#برنامه_نویسی #درآمد #درآمد_برنامه_نویسی
〰️〰️〰️〰️〰️
© @DjangoEx | @AI_Python
در این ویدئو راجع به معامله هایی که توی اتاق هایی با درهای بسته انجام میشه، صحبت میکنیم 😎💰
🖥 مشاهده در یوتوب:
👉 Link: https://youtu.be/uwJpBPqyBzI
#برنامه_نویسی #درآمد #درآمد_برنامه_نویسی
〰️〰️〰️〰️〰️
© @DjangoEx | @AI_Python
Best Data Science Blogs That Every Data Analyst Should Follow
#DataScience #MachineLearning #ML #AI #DataScienceCommunity #DataScientist
https://reconshell.com/best-data-science-blogs-that-every-data-analyst-should-follow/
❇️ @AI_Python
#DataScience #MachineLearning #ML #AI #DataScienceCommunity #DataScientist
https://reconshell.com/best-data-science-blogs-that-every-data-analyst-should-follow/
❇️ @AI_Python
کلیه مقالات کنفرانس ICCV2021 در دسترس قرار گرفت
https://openaccess.thecvf.com/ICCV2021
#هوش_مصنوعی #الگوریتمها #آموزش #کنفرانس
❇️ @AI_Python
https://openaccess.thecvf.com/ICCV2021
#هوش_مصنوعی #الگوریتمها #آموزش #کنفرانس
❇️ @AI_Python
How do I get professors to answer my emails?
You have sent SO MANY emails to professors for scheduling your prelim, looking for research opportunities, or asking questions about courses etc. But they just don't reply at all! Angry face
How do I get things done? A few tips below .
Group scheduling*
Don't send out Doodle/When2meet with 30+ entries! Look up their (course) schedules and propose only a few (3-5) time slots.
If they need to spend 15 mins filling out your scheduling request, they will simply ignore your email.
*Give them the control for planning their day*
Scheduling a meeting:
Don't: When will you be available?
Do: I am available ... Will you be available in one of the time slots?
When you ask for availability, you are effectively asking for commitment for ALL of the time slots.
*Calendar invite*
Once you scheduled a meeting. Please do send a calendar invite with all the required information (e.g., zoom link).
Whatever that's not on their calendar does not exist.
*Go 90% and let them finish the 10%*
• Need a form? Pre-fill it as much as you can (you know their name and email).
• Need a cover letter? Write a draft first.
• Need a ref. letter? Send an updated CV and SOP.
• Need to ask about a course? Read the syllabus first.
*cc all parties involved*
Asking for some code/data/clarification? cc'ing your PI and their PI definitely helps you get a prompt reply!
*Don't cc all parties involved*
Don't send requests to MULTIPLE people in the same thread. Everyone will assume others will do it and therefore no one will do it. Send INDIVIDUAL emails instead.
*One email one topic*
Help your professors respond your email quickly. Make your emails simple, clear, and actionable.
*Formatting*
You are not writing in plain texts.
Formatting your email so that it's easy to read, e.g.,
• bullet points for parallel concepts
• bold font for highlighting
• bold phrase for organizing your email
• italic for sentence stress.
*Timeline*
Provide specific action and specific date that the task needed to be completed. This helps them plan their schedule to make time for your requests.
#منابع #اپلای
❇️ @AI_Python
You have sent SO MANY emails to professors for scheduling your prelim, looking for research opportunities, or asking questions about courses etc. But they just don't reply at all! Angry face
How do I get things done? A few tips below .
Group scheduling*
Don't send out Doodle/When2meet with 30+ entries! Look up their (course) schedules and propose only a few (3-5) time slots.
If they need to spend 15 mins filling out your scheduling request, they will simply ignore your email.
*Give them the control for planning their day*
Scheduling a meeting:
Don't: When will you be available?
Do: I am available ... Will you be available in one of the time slots?
When you ask for availability, you are effectively asking for commitment for ALL of the time slots.
*Calendar invite*
Once you scheduled a meeting. Please do send a calendar invite with all the required information (e.g., zoom link).
Whatever that's not on their calendar does not exist.
*Go 90% and let them finish the 10%*
• Need a form? Pre-fill it as much as you can (you know their name and email).
• Need a cover letter? Write a draft first.
• Need a ref. letter? Send an updated CV and SOP.
• Need to ask about a course? Read the syllabus first.
*cc all parties involved*
Asking for some code/data/clarification? cc'ing your PI and their PI definitely helps you get a prompt reply!
*Don't cc all parties involved*
Don't send requests to MULTIPLE people in the same thread. Everyone will assume others will do it and therefore no one will do it. Send INDIVIDUAL emails instead.
*One email one topic*
Help your professors respond your email quickly. Make your emails simple, clear, and actionable.
*Formatting*
You are not writing in plain texts.
Formatting your email so that it's easy to read, e.g.,
• bullet points for parallel concepts
• bold font for highlighting
• bold phrase for organizing your email
• italic for sentence stress.
*Timeline*
Provide specific action and specific date that the task needed to be completed. This helps them plan their schedule to make time for your requests.
#منابع #اپلای
❇️ @AI_Python