#Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance
#book #python
@Machine_learn
#book #python
@Machine_learn
2_5447238834616009253.pdf
6.9 MB
#Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance
#book #python
@Machine_learn
#book #python
@Machine_learn
#Mesh R-CNN
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
1906.02739.pdf
4.2 MB
#Mesh R-CNN
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
Mini Course in Deep Learning with #PyTorch for AIMS
#course #DL
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@Machine_learn
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https://github.com/Atcold/pytorch-Deep-Learning-Minicourse
#course #DL
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@Machine_learn
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https://github.com/Atcold/pytorch-Deep-Learning-Minicourse
GitHub
GitHub - Atcold/NYU-DLSP20: NYU Deep Learning Spring 2020
NYU Deep Learning Spring 2020. Contribute to Atcold/NYU-DLSP20 development by creating an account on GitHub.
Deep learning in one medium: combining #Code, #Math and #HTML. Open source book for everyone
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
❤1
d2l-en.pdf
23.3 MB
Deep learning in one medium: combining #Code, #Math and #HTML. Open source book for everyone
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
2018 International MICCAI BraTS Challenge
#All BraTS challenge papers
#Unet #3D_Unet #RCNN
@Machine_learn
#All BraTS challenge papers
#Unet #3D_Unet #RCNN
@Machine_learn
MICCAI_BraTS_2018_proceedings_shortPapers.pdf
41.8 MB
2018 International MICCAI BraTS Challenge
#All BraTS challenge papers
#Unet #3D_Unet #RCNN
@Machine_learn
#All BraTS challenge papers
#Unet #3D_Unet #RCNN
@Machine_learn
Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations
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@Machine_learn
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http://ai.googleblog.com/2019/06/introducing-tensornetwork-open-source.html
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@Machine_learn
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http://ai.googleblog.com/2019/06/introducing-tensornetwork-open-source.html
research.google
Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculati
Posted by Chase Roberts, Research Engineer, Google AI and Stefan Leichenauer, Research Scientist, X Many of the world's toughest scientific chall...
HoloGAN: Unsupervised learning of 3D representations from natural images
#GAN #paper #DL
@Machine_learn
#GAN #paper #DL
@Machine_learn
1904.01326.pdf
3.9 MB
HoloGAN: Unsupervised learning of 3D representations from natural images
#GAN #paper #DL
@Machine_learn
#GAN #paper #DL
@Machine_learn
A Style-Based Generator Architecture for Generative Adversarial Networks
#GAN #StyleGAN #paper
@Machine_learn
#GAN #StyleGAN #paper
@Machine_learn
1812.04948.pdf
21.9 MB
A Style-Based Generator Architecture for Generative Adversarial Networks #GAN #StyleGAN #paper
@Machine_learn
@Machine_learn
Forwarded from Ramin Mousa
A Gentle Introduction to Generative Adversarial Networks (GANs)
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@Machine_learn
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https://machinelearningmastery.com/what-are-generative-adversarial-networks-gans/
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@Machine_learn
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https://machinelearningmastery.com/what-are-generative-adversarial-networks-gans/