AI, Python, Cognitive Neuroscience
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One of the best resources for #PyTorch based #pretrained CNN models.
https://lnkd.in/eY87mFf

✴️ @AI_Python_EN
How #Facebook used Mask R-CNN, #PyTorch, and custom hardware integrations like foveated processing to improve Portal’s Smart Camera system.

Link:
https://ai.facebook.com/blog/smart-camera-portal-advances/

#CV #DL #Segmentation
Spooky Lavanya

Weights & Biases is officially included in Stanford's CS 197 class!

I wrote a quick tutorial on how to train a neural network using #PyTorch & track your experiments in W&B!
Class:
http://cs197.stanford.edu/assignments/a3.shtml
Code:
https://colab.research.google.com/drive/1zkoPdBZWUMsTpvA35ShVNAP0QcRsPUjf

#MachineLearning

❇️ @AI_Python_en
The war between ML frameworks has raged on since the rebirth of deep learning. Who is winning? Horace He data analysis shows clear trends: PyTorch is winning dramatically among researchers, while Tensorflow still dominates industry.
#PyTorch #Tensorflow

https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/

❇️ @AI_Python_EN
Pytorch-Struct

Fast, general, and tested differentiable structured prediction in PyTorch. By Harvard NLP : https://lnkd.in/e2iGiNa

#PyTorch #DeepLearning #ArtificialIntelligence

✴️ @AI_Python_EN
"Differentiable Convex Optimization Layers"

CVXPY creates powerful new PyTorch and TensorFlow layers

Agrawal et al.: https://locuslab.github.io/2019-10-28-cvxpylayers/

#PyTorch #TensorFlow #NeurIPS2019


❇️ @AI_Python_EN
New State of the Art AI Optimizer: Rectified Adam (RAdam) Improve your AI accuracy instantly versus Adam, and why it works. Blog by Less Wright :

https://medium.com/@lessw/new-state-of-the-art-ai-optimizer-rectified-adam-radam-5d854730807b

#MachineLearning #TensorFlow #Pytorch #DeepLearning

❇️ @AI_Python_EN