Review Article: Deep Learning in Neuroradiology https://www.ajnr.org/content/39/10/1776 @ArtificialIntelligenceArticles

MedicalTorch is an open-source framework for pytorch, implemeting an extensive set of loaders, pre-processors and datasets for medical imaging.
https://medicaltorch.readthedocs.io/en/stable/

The Statistical Physics of Real-World Networks

Cimini et al.: https://arxiv.org/abs/1810.05095

#physics #artificialintelligence #neuralnetworks

The Statistical Physics of Real-World Networks

Cimini et al.: https://arxiv.org/abs/1810.05095

#artificialintelligence #neuralnetworks #physics

Eager Execution Enabled

https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/Eager_Execution_Enabled.ipynb

Flow-based Deep Generative Models

By Lilian Weng : https://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models.html

#deeplearning #machinelearning #neuralnetworks

AI Driving Olympics Ready for Submissions

Duckietown : https://www.duckietown.org/archives/28465

Leaderboard : https://challenges.duckietown.org/v3/humans/challenges/aido1_LF1-v3/leaderboard

Need data for deep learning?
Skymind's articles have cat memes! And a very comprehensive guide on finding data for deep learning.
https://skymind.ai/wiki/data-for-deep-learning

Free #OpenSource Datasets to Train #DeepLearning Models

Great list of public datasets from Google, Microsoft, Academic Torrents, Github, SkyMind. https://goo.gl/pR2KxG

New book by Christopher Bishop et al.: Model-based Machine Learning

https://mbmlbook.com/ @ArtificialIntelligenceArticles

Cross-Entropy Loss Leads To Poor Margins

paper : https://openreview.net/forum?id=ByfbnsA9Km @ArtificialIntelligenceArticles

Neural Approaches to Conversational AI

Gao et al.: https://arxiv.org/abs/1809.08267

#computation #language #machinelearning

A Brief Introduction to Machine Learning for Engineers

By Osvaldo Simeone : https://arxiv.org/abs/1709.02840

#artificialintelligence #deeplearning #machinelearning @ArtificialIntelligenceArticles

There’s now a new (and final) version of Sutton’s Reinforcement learning book at
https://incompleteideas.net/book/the-book-2nd.html

#reinforcementlearning

PinSage: A new graph convolutional neural network for web-scale recommender systems https://medium.com/@Pinterest_Engineering/pinsage-a-new-graph-convolutional-neural-network-for-web-scale-recommender

Open Source reimplementation of the Wolfram Research language in #Python.
Symbolic math, interactive 3D plots & accessible docs:
https://mybinder.org/v2/gh/wolfv/Mathics/binder?urlpath=proxy%2F1234%2F

Demis Hassabis : creativity and AI

The Rothschild Foundation Lecture : https://youtu.be/d-bvsJWmqlc

#artificialintelligence #creativity #reinforcementlearning

Q-map : a Convolutional Approach for Goal-Oriented Reinforcement Learning

Videos and code: https://sites.google.com/view/q-map-rl

paper : https://arxiv.org/abs/1810.02927

#artificialintelligence #machinelearning #reinforcementlearning

Training Neural Nets on Larger Batches: Practical Tips on 1-GPU, Multi-GPU & Distributed setups

link : https://goo.gl/tyVdGh #artificialintelligence #deeplearning @ArtificialIntelligenceArticles

The new fast.ai research datasets collection, on AWS Open Data
https://www.fast.ai/2018/10/16/aws-datasets/ @ArtificialIntelligenceArticles