MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications.
2023 lectures are starting in just one day, Jan 9th!
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
#فیلم #منابع #منابع_پیشنهادی #یادگیری_عمیق #کلاس_آموزشی #آموزش_کلاسی
✅ @AI_Python
2023 lectures are starting in just one day, Jan 9th!
Link to register:
http://introtodeeplearning.com
MIT Introduction to Deep Learning The 2022 lectures can be found here:
https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
#فیلم #منابع #منابع_پیشنهادی #یادگیری_عمیق #کلاس_آموزشی #آموزش_کلاسی
✅ @AI_Python
10 YouTube videos for anyone starting with machine learning.
On libraries, algorithms, and tools:
1. Notebooks are a fantastic way to code, experiment, and communicate your results. Take a look at Corey Schafer fantastic 30-minute tutorial on Jupyter Notebooks. https://m.youtube.com/watch?v=HW29067qVWk
2. The Pandas library is the gold standard to manipulate structured data. Check out Joe James "Pandas Tutorial. Intro to DataFrames."
https://m.youtube.com/watch?v=HW29067qVWk
3. Data visualization is key for anyone practicing machine learning.
Check out Blondiebytes's "Learn Matplotlib in 6 minutes" tutorial.
https://youtu.be/nzKy9GY12yo
4. Another trendy data visualization library is Seaborn. Derek Banas put together "Seaborn Tutorial 2020," which is highly recommend. https://youtu.be/6GUZXDef2U0
5. Numpy is another Python library that you will use every single day.
Keith Galli's "Complete Python NumPy Tutorial" is a great start. https://youtu.be/6GUZXDef2U0
6. One of the most basic algorithms that you can learn is Decision Trees.
Watch Josh Gordon's video where he builds a decision tree from scratch. https://youtu.be/LDRbO9a6XPU
7. It's hard to talk about the Machine learning without touching on Neural Networks. Probably the best video out there that explains how neural networks work is 3blue1brown's: https://m.youtube.com/watch?v=aircAruvnKk
8. Scikit-Learn is one of the most popular machine learning libraries out there. Simplilearn's "Scikit-Learn Tutorial" is a great place to start. https://youtu.be/0Lt9w-BxKFQ
9. TensorFlow is the most popular deep learning library that's currently used in the industry. Here is a massive 7-hour tutorial of TensorFlow 2.0 produced by Free Code Camp. https://youtu.be/tPYj3fFJGjk
10. Finally, a great way to start getting familiar with machine learning is the bite-sized recipes published by Google. This series is worth every minute. Playlist: https://m.youtube.com/watch?v=cKxRvEZd3Mw&list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal
✅ @AI_Python
On libraries, algorithms, and tools:
1. Notebooks are a fantastic way to code, experiment, and communicate your results. Take a look at Corey Schafer fantastic 30-minute tutorial on Jupyter Notebooks. https://m.youtube.com/watch?v=HW29067qVWk
2. The Pandas library is the gold standard to manipulate structured data. Check out Joe James "Pandas Tutorial. Intro to DataFrames."
https://m.youtube.com/watch?v=HW29067qVWk
3. Data visualization is key for anyone practicing machine learning.
Check out Blondiebytes's "Learn Matplotlib in 6 minutes" tutorial.
https://youtu.be/nzKy9GY12yo
4. Another trendy data visualization library is Seaborn. Derek Banas put together "Seaborn Tutorial 2020," which is highly recommend. https://youtu.be/6GUZXDef2U0
5. Numpy is another Python library that you will use every single day.
Keith Galli's "Complete Python NumPy Tutorial" is a great start. https://youtu.be/6GUZXDef2U0
6. One of the most basic algorithms that you can learn is Decision Trees.
Watch Josh Gordon's video where he builds a decision tree from scratch. https://youtu.be/LDRbO9a6XPU
7. It's hard to talk about the Machine learning without touching on Neural Networks. Probably the best video out there that explains how neural networks work is 3blue1brown's: https://m.youtube.com/watch?v=aircAruvnKk
8. Scikit-Learn is one of the most popular machine learning libraries out there. Simplilearn's "Scikit-Learn Tutorial" is a great place to start. https://youtu.be/0Lt9w-BxKFQ
9. TensorFlow is the most popular deep learning library that's currently used in the industry. Here is a massive 7-hour tutorial of TensorFlow 2.0 produced by Free Code Camp. https://youtu.be/tPYj3fFJGjk
10. Finally, a great way to start getting familiar with machine learning is the bite-sized recipes published by Google. This series is worth every minute. Playlist: https://m.youtube.com/watch?v=cKxRvEZd3Mw&list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal
✅ @AI_Python
توئیتر الگوریتم ریکامندیشن خود را به صورت اوپن سورس منتشر کرد.
Twitter recommendation algorithm is now open sourced.
https://github.com/twitter/the-algorithm
✅ @AI_Python
Twitter recommendation algorithm is now open sourced.
https://github.com/twitter/the-algorithm
✅ @AI_Python
CS 324 - Advances in Foundation Models
https://stanford-cs324.github.io/winter2023/syllabus/
#منابع #آموزش #آموزش_کلاسی #الگوریتمها #پردازش_زبان_طبیعی #هوش_مصنوعی
✅ @AI_Python
https://stanford-cs324.github.io/winter2023/syllabus/
#منابع #آموزش #آموزش_کلاسی #الگوریتمها #پردازش_زبان_طبیعی #هوش_مصنوعی
✅ @AI_Python
کورس کلاسی دانشگاه کارنگی ملون
Introduction to Deep Learning, Carnegie Mellon 2022-23
https://m.youtube.com/playlist?list=PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW
#منابع #فیلم #یادگیری_عمیق #کلاس_آموزشی #آموزش_کلاسی
✅ @AI_Python
Introduction to Deep Learning, Carnegie Mellon 2022-23
https://m.youtube.com/playlist?list=PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW
#منابع #فیلم #یادگیری_عمیق #کلاس_آموزشی #آموزش_کلاسی
✅ @AI_Python
✅ Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox
@ai_python
❇️ Explore a comprehensive and practical approach to reinforcement learning.
❇️ Reinforcement learning is an essential paradigm of machine learning, wherein an intelligent agent performs actions that ensure optimal behavior from devices. While this paradigm of machine learning has gained tremendous success and popularity in recent years, previous scholarship has focused either on theory―optimal control and dynamic programming – or on algorithms―most of which are simulation-based.
#معرفی_کتاب@ai_python
برادران کارامازوف رو خوندین؟
با ChatGPT ارتباطات بین شخصیت‌های مختلف این رمان رو استخراج کردم و یه گراف تعاملی ازش ساختم.
🔗 https://schoobani.github.io/novel-graph-app
اطلاعات بیشتر روی گیتهاب
@ai_python
با ChatGPT ارتباطات بین شخصیت‌های مختلف این رمان رو استخراج کردم و یه گراف تعاملی ازش ساختم.
🔗 https://schoobani.github.io/novel-graph-app
اطلاعات بیشتر روی گیتهاب
@ai_python
📚 کتاب مبانی علوم اعصاب شناختی
Fundamentals of Cognitive Neuroscience
✍️ Nicole M. Gage & Bernard J. Baars
🔗 ScienceDirect | Google Books | Persian translate | DleX Archive
#Cognitive_Neuroscience #Neuroscience #Books
@ai_python
Fundamentals of Cognitive Neuroscience
✍️ Nicole M. Gage & Bernard J. Baars
🔗 ScienceDirect | Google Books | Persian translate | DleX Archive
#Cognitive_Neuroscience #Neuroscience #Books
@ai_python
📌 نقشه راه یادگیری هوش مصنوعی
Roadmap to becoming an Artificial Intelligence Expert
البته که یادگیری پله‌ای زمان‌بر، سخت و اولدفشن حساب میشه اما همیشه وجود یکسری سرفصل دقیق و منسجم برای یادگیری مفیده! میتونید حین استفاده از دوره‌های دیگه ازش استفاده کنید.
🔗 https://i.am.ai/roadmap/
#RoadMaps #Ai
#Basics
@ai_python
Roadmap to becoming an Artificial Intelligence Expert
البته که یادگیری پله‌ای زمان‌بر، سخت و اولدفشن حساب میشه اما همیشه وجود یکسری سرفصل دقیق و منسجم برای یادگیری مفیده! میتونید حین استفاده از دوره‌های دیگه ازش استفاده کنید.
🔗 https://i.am.ai/roadmap/
#RoadMaps #Ai
#Basics
@ai_python
📎 Vehicle Behaviour Prediction in Autonomous Vehicle Settings
🔗 https://arxiv.org/abs/2304.06121
#Robotics #Computer_Vision #Pattern_Recognition
@ai_python
🔗 https://arxiv.org/abs/2304.06121
#Robotics #Computer_Vision #Pattern_Recognition
@ai_python
با مفهوم Robustness و پایداری سیستم‌ها آشنا هستید؟ چقدر از این مفهوم در کارتون استفاده می‌کنید؟
https://twitter.com/mohsenreyhani01/status/1237106705751617539?s=20
@ai_python
https://twitter.com/mohsenreyhani01/status/1237106705751617539?s=20
@ai_python
X (formerly Twitter)
X
📽 دوره هوش مصنوعی برای همه از کورسرا!
AI For Everyone
پاسخ واقع‌بینانه هوش مصنوعی چیه؟ از پس چه‌کارهایی برمیاد و چه کارهایی نه رو از زبان Andrew Ng بشنویم. مناسب برای کسانی که توی این زمینه تازه کار هستن یا میخوان به هر شکلی از هوش مصنوعی توی کارشون استفاده کنن.
🔗 Visit Coursera
#Ai #BeginnerCourse
#Course
@ai_python
AI For Everyone
پاسخ واقع‌بینانه هوش مصنوعی چیه؟ از پس چه‌کارهایی برمیاد و چه کارهایی نه رو از زبان Andrew Ng بشنویم. مناسب برای کسانی که توی این زمینه تازه کار هستن یا میخوان به هر شکلی از هوش مصنوعی توی کارشون استفاده کنن.
🔗 Visit Coursera
#Ai #BeginnerCourse
#Course
@ai_python
🎙 پایتون و آینده برنامه نویسی از زبان سازنده اون | Lex Fridman
Guido van Rossum: Python and the the Future of Programming
🔗 https://youtu.be/-DVyjdw4t9I
#Podcasts #Python
#Programming
@ai_python
Guido van Rossum: Python and the the Future of Programming
🔗 https://youtu.be/-DVyjdw4t9I
#Podcasts #Python
#Programming
@ai_python
📌 A.N.N.A. — Artificial Neural Network Agent for MotoGP™ 19
A.N.N.A. is a Deep Reinforcement Learning used to develop MotoGP™ 19 with the goal to have a video game faster as possible and changing the developement rule. In the other videogames the path of the motorbike was already programmed, instead the goal of this system is to improve the gameplay experience. So how does it work? 👈
📎 Reinforcement Learning: An Introduction
📎 A Brief Survey of Deep Reinforcement Learning
📎 An Introduction to Deep Reinforcement Learning
#Deep_Reinforcement_Learning
#RealWorldProjects
@ai_python
A.N.N.A. is a Deep Reinforcement Learning used to develop MotoGP™ 19 with the goal to have a video game faster as possible and changing the developement rule. In the other videogames the path of the motorbike was already programmed, instead the goal of this system is to improve the gameplay experience. So how does it work? 👈
Watch the Video
اگه علاقه‌مند به دنیای مسابقه موتورسواری هستید، احتمالا با بازی‌های ویدویی هرفصل هم آشنا باشید. A.N.N.A که یک ابزار یادگیری تقویتی عمیق معرفی شده توسط تیم سازنده بازی هست که از اون توی MotoPG19 استفاده شده. در ادامه هم یکسری مقاله و کتاب برای آشنایی با یادگیری تقویتی هست که میتونید استفاده کنید.📎 Reinforcement Learning: An Introduction
📎 A Brief Survey of Deep Reinforcement Learning
📎 An Introduction to Deep Reinforcement Learning
#Deep_Reinforcement_Learning
#RealWorldProjects
@ai_python