Artificial Intelligence && Deep Learning
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Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

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Introducing MineGAN: Effective Knowledge Transfer from GANs to Target Domains with Few Images

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paper: https://arxiv.org/pdf/1912.05270.pdf
Anyone interested in Learning
Python For Computer vision with OpenCv
Complete Course Available for free
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https://sites.google.com/view/resourcespoint/home
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python Programming Resources

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https://www.marktechpost.com/free-resources/
CS221: Artificial Intelligence: Principles And Techniques | Stanford University

What do web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling have in common? These are all complex real-world problems, and the goal of artificial intelligence (AI) is to tackle these with rigorous mathematical tools.

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https://www.newworldai.com/cs221-artificial-intelligence-principles-and-techniques-stanford-university/
Using neural networks to solve advanced mathematics equations

Facebook AI has built the first AI system that can solve advanced mathematics equations using symbolic reasoning. By developing a new way to represent complex mathematical expressions as a kind of language and then treating solutions as a translation problem for sequence-to-sequence neural networks.

January 14,2020

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https://ai.facebook.com/blog/using-neural-networks-to-solve-advanced-mathematics-equations/
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In today’s brand new tutorial you will learn how to utilize YOLO and Tiny-YOLO for near real-time object detection on the Raspberry Pi with a Movidius NCS (with source code):

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https://www.pyimagesearch.com/2020/01/27/yolo-and-tiny-yolo-object-detection-on-the-raspberry-pi-and-movidius-ncs/
It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars.

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https://www.newworldai.com/deep-learning-and-self-driving-cars-from-mit-lectures-01-05/?fbclid=IwAR1hxhjsHMihuDNyBvA8zycdPKv6anSkkkpGws3LKsumcdntoVTvQhp8slU
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3D Face Reconstruction with Position Map Regression Networks