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paper: https://arxiv.org/abs/1912.05070

source code: https://github.com/wangsr126/RDSNet

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Paper: https://arxiv.org/abs/1912.05656

source code: https://github.com/mkocabas/VIBE

Facebook, Microsoft, AWS: We want you to take up the deepfake detection challenge

Facebook provides 100,000 AI-manipulated videos for researchers to develop better deepfake detection systems.

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https://www.zdnet.com/article/facebook-microsoft-aws-we-want-you-to-take-up-the-deepfake-detection-challenge/?ftag=TRE-03-10aaa6b&bhid=28888291887288387751905214946691

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

MIT lecture series on deep learning in 2019

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MIT lecture series on deep learning:

Basics: https://www.youtube.com/watch?v=O5xeyoRL95U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

State of the Art: https://www.youtube.com/watch?v=53YvP6gdD7U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

Introduction to Deep RL: https://www.youtube.com/watch?v=zR11FLZ-O9M&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

Best of Machine Learning in 2019: Reddit Edition

A look at 17 of the most popular projects, research papers, demos, and more from the subreddit r/MachineLearning over the past year

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https://heartbeat.fritz.ai/best-of-machine-learning-in-2019-reddit-edition-5fbb676a808

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/

Lecture Notes: Regularization for Deep Learning

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@DeepLearning_AI

https://towardsdatascience.com/lecture-notes-regularization-be3e7f8e7749

Intro to anomaly detection with OpenCV, Computer Vision, and scikit-learn 👉(with source code)

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https://www.pyimagesearch.com/2020/01/20/intro-to-anomaly-detection-with-opencv-computer-vision-and-scikit-learn/

StarGAN v2: Diverse Image Synthesis for Multiple Domains

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https://arxiv.org/abs/1912.01865

Un-official TensorFlow Implementation https://github.com/clovaai/stargan-v2

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/

Real-time and video processing object detection using Tensorflow, OpenCV and Docker.

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https://towardsdatascience.com/real-time-and-video-processing-object-detection-using-tensorflow-opencv-and-docker-2be1694726e5

Face Estimation

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Dataset :- http://domedb.perception.cs.cmu.edu/

Code:- https://github.com/CMU-Perceptual-Computing-Lab/openpose

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