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
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https://arxiv.org/abs/1912.01865
Un-official TensorFlow Implementation https://github.com/clovaai/stargan-v2
GitHub
GitHub - clovaai/stargan-v2: StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
StarGAN v2 - Official PyTorch Implementation (CVPR 2020) - clovaai/stargan-v2
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In todayโs 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/
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https://www.pyimagesearch.com/2020/01/27/yolo-and-tiny-yolo-object-detection-on-the-raspberry-pi-and-movidius-ncs/
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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
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https://towardsdatascience.com/real-time-and-video-processing-object-detection-using-tensorflow-opencv-and-docker-2be1694726e5
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Face Estimation
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Dataset :- http://domedb.perception.cs.cmu.edu/
Code:- https://github.com/CMU-Perceptual-Computing-Lab/openpose
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Dataset :- http://domedb.perception.cs.cmu.edu/
Code:- https://github.com/CMU-Perceptual-Computing-Lab/openpose
It doesnโt 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 Fridmanโs 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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https://www.newworldai.com/deep-learning-and-self-driving-cars-from-mit-lectures-01-05/?fbclid=IwAR1hxhjsHMihuDNyBvA8zycdPKv6anSkkkpGws3LKsumcdntoVTvQhp8slU
New World : Artificial Intelligence
Deep Learning and Self-Driving Cars from MIT (Lex Fridman): Lectures 01-05 - New World : Artificial Intelligence
Everybody can benefit of Lex Fridmanโs course on Deep Learning for Self-Driving Cars.
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3D Face Reconstruction with Position Map Regression Networks
3D Face Reconstruction with Position Map Regression Networks ๐ (with source code)
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2. https://heartbeat.fritz.ai/3d-face-reconstruction-with-position-map-regression-networks-36f0ac2d3ef1
3. https://github.com/YadiraF/PRNet
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2. https://heartbeat.fritz.ai/3d-face-reconstruction-with-position-map-regression-networks-36f0ac2d3ef1
3. https://github.com/YadiraF/PRNet
Medium
3D Face Reconstruction with Position Map Regression Networks
Position Map Regression Networks (PRN) is a method to jointly regress dense alignment and 3D face shape in an end-to-end manner. In thisโฆ
FREE ONLINE COURSES
Browse the latest free online courses from HARVARD University including "CS50's Introduction to Game Development", "CS50's Web Programming with Python and JavaScript" , "CS50's Mobile App Development with React Native" and so on....
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2. https://online-learning.harvard.edu/catalog/free
Browse the latest free online courses from HARVARD University including "CS50's Introduction to Game Development", "CS50's Web Programming with Python and JavaScript" , "CS50's Mobile App Development with React Native" and so on....
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2. https://online-learning.harvard.edu/catalog/free
CS230 Deep Learning Lectures | Stanford Engineering
Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
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2. https://www.newworldai.com/cs230-deep-learning-stanford-engineering/?fbclid=IwAR2BXdgS70N5wVeTdnevVL4eF_L3_l67vBetQkCOIoEazDZLeSx5TJUp6t0
Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
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2. https://www.newworldai.com/cs230-deep-learning-stanford-engineering/?fbclid=IwAR2BXdgS70N5wVeTdnevVL4eF_L3_l67vBetQkCOIoEazDZLeSx5TJUp6t0
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Good day dear subscribers.
Within this past a year we learn or still learning more about specific topics through channel.
I try with my best to provide, keep going with contemporary knowladge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and Stay with us.
Within this past a year we learn or still learning more about specific topics through channel.
I try with my best to provide, keep going with contemporary knowladge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and Stay with us.
๐1
Deep Learning for Object Detection: A Comprehensive Review
* Single Shot Multibox Detector (SSD) with MobileNets
* SSD with Inception V2
* Region-Based Fully Convolutional Networks (R-FCN) with Resnet 101
* Faster RCNN with Resnet 101
* Faster RCNN with Inception Resnet v2
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2.https://towardsdatascience.com/deep-learning-for-object-detection-a-comprehensive-review-73930816d8d9
* Single Shot Multibox Detector (SSD) with MobileNets
* SSD with Inception V2
* Region-Based Fully Convolutional Networks (R-FCN) with Resnet 101
* Faster RCNN with Resnet 101
* Faster RCNN with Inception Resnet v2
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2.https://towardsdatascience.com/deep-learning-for-object-detection-a-comprehensive-review-73930816d8d9
Medium
Deep Learning for Object Detection: A Comprehensive Review
Faster R-CNN, R-FCN, SSD, and more acronyms you canโt keep straight
610 Free Online Programming & Computer Science Courses You Can Start This March
These courses sorted into the following categories based on their difficulty level:
* Beginner
* Intermediate
* Advanced
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2. https://www.freecodecamp.org/news/free-online-programming-cs-courses/
These courses sorted into the following categories based on their difficulty level:
* Beginner
* Intermediate
* Advanced
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2. https://www.freecodecamp.org/news/free-online-programming-cs-courses/
freeCodeCamp.org
860+ Free Online Programming & Computer Science Courses You Can Start This New Year
By Dhawal Shah Twelve years ago, universities like Stanford and MIT opened up free online courses to the public. Today, over 1,200 schools around the world have created thousands of free online courses. To welcome the new year, Iโve compiled this lis...
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Speech Recognition โ Deep Speech, CTC, Listen, Attend, and Spell
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https://medium.com/@jonathan_hui/speech-recognition-deep-speech-ctc-listen-attend-and-spell-d05e940e9ed1
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https://medium.com/@jonathan_hui/speech-recognition-deep-speech-ctc-listen-attend-and-spell-d05e940e9ed1
Medium
Speech Recognition โ Deep Speech, CTC, Listen, Attend, and Spell
Deep Learning (DL) changes many Machine Learning (ML) fields that heavily depend on domain knowledge. Decades of research in modeling thisโฆ
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Face and hand tracking in the browser with MediaPipe and TensorFlow.js
Posted by Ann Yuan and Andrey Vakunov, Software Engineers at Google
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2. https://blog.tensorflow.org/2020/03/face-and-hand-tracking-in-browser-with-mediapipe-and-tensorflowjs.html?linkId=83996111&m=1
Posted by Ann Yuan and Andrey Vakunov, Software Engineers at Google
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2. https://blog.tensorflow.org/2020/03/face-and-hand-tracking-in-browser-with-mediapipe-and-tensorflowjs.html?linkId=83996111&m=1
Top 100 in Neuroscience
This collection highlights our most downloaded* neuroscience papers published in 2019. Featuring authors from around the world, these papers feature valuable research from an international community.
*Data obtained from SN Insights which is based on Digital Scienceโs Dimensions.
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2. https://www.nature.com/collections/cgaefaegbi?utm_source=facebook&utm_medium=social&utm_content=ads&utm_campaign=JRPC_4_SC01_OT_Scirep_Top100neuro_fb&fbclid=IwAR18LhWeQJV2I9GbnP_79fChaGfAqIQ94ZJG7C75-Vqp-LKJ71fDXyP65uM
This collection highlights our most downloaded* neuroscience papers published in 2019. Featuring authors from around the world, these papers feature valuable research from an international community.
*Data obtained from SN Insights which is based on Digital Scienceโs Dimensions.
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2. https://www.nature.com/collections/cgaefaegbi?utm_source=facebook&utm_medium=social&utm_content=ads&utm_campaign=JRPC_4_SC01_OT_Scirep_Top100neuro_fb&fbclid=IwAR18LhWeQJV2I9GbnP_79fChaGfAqIQ94ZJG7C75-Vqp-LKJ71fDXyP65uM
Nature
Top 100 in Neuroscience
Explore our most highly downloaded neuroscience articles in 2019. Featuring authors from around the World, these papers highlight valuable research within ecology from an international community.
Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning
by Adrian Rosebrock on March 16, 2020
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2. https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/?fbclid=IwAR1dRprtpFZ4GSbNlSPcwSCe7jHcFVZ4dA9UBUjaaKUxr5ViAGsnaWNgjGs
by Adrian Rosebrock on March 16, 2020
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2. https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/?fbclid=IwAR1dRprtpFZ4GSbNlSPcwSCe7jHcFVZ4dA9UBUjaaKUxr5ViAGsnaWNgjGs
Cambridge University Press is making higher education textbooks in HTML format free to access online during the coronavirus outbreak.
Over 700 textbooks, published and currently available, on Cambridge Core are available regardless of whether textbooks were previously purchased.
Free access is available until the end of May 2020.
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2.https://www.cambridge.org/core/what-we-publish/textbooks
Over 700 textbooks, published and currently available, on Cambridge Core are available regardless of whether textbooks were previously purchased.
Free access is available until the end of May 2020.
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2.https://www.cambridge.org/core/what-we-publish/textbooks
Hands-On Speech Recognition Engine with Keras and Python (with source code)
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2. https://medium.com/@fortes.arthur/hands-on-speech-recognition-engine-with-keras-and-python-c60488ac53cd
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2. https://medium.com/@fortes.arthur/hands-on-speech-recognition-engine-with-keras-and-python-c60488ac53cd
Medium
Hands-On Speech Recognition Engine with Keras and Python
Have you ever wondered how speech recognition algorithms work? These algorithms are increasingly popular, especially in personalโฆ