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Neural network, Computational neuroscience, Artificial neural network, Artificial intelligence, Machine learning, Unsupervised learning
7 outstanding papers at ICLR 2022
The 10th edition of ICLR is underway.
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Announcing the ICLR 2022 Outstanding Paper Award Recipients
This paper is significant both in terms of its theoretical contribution (showing that both the optimal reverse variance and KL divergence of a DPM have analytic forms) and its practical ...
Awesome Deep Learning Resources
Contribute to souravstat/Curated-Resources development by creating an account on GitHub.
10 Game-changing AI Breakthroughs Worth Knowing About
Fascinating Ideas and Concepts of the Last Few Decades
The most cited neural networks all build on work done in my labs
Here I discuss: (1) Long Short-Term Memory[LSTM0-17] (LSTM), the most cited NN of the 20th century, (2) ResNet, the most frequently cited NN of the 21st century (which is an open-gated ...
Yann LeCun
His most far-reaching contribution was a new approach, called the “convolutional neural network.” Many networks are designed to recognize visual patterns, but a simple learning model ...
Top 10 AI Researchers Across Globe Influencing Technological Disruption
The routine developments in the field of Artificial Intelligence are no magic but dedicated efforts of several researchers working excessively to bring about new advents in our life. ...
From classic AI techniques to Deep Reinforcement Learning
Building machines that can learn from examples, experience, or even from another machines at human level are the main goal of solving AI…
Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award
2018 ACM A.M. Turing Award recipients Yoshua Bengio, Geoffrey Hinton, and Yann LeCun achieved conceptual and engineering breakthroughs that made deep neural networks a critical component of ...
DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning
Optimization methods are the engines underlying neural networks that enable them to learn from data. In this lecture, DeepMind Research Scientist James Marte...
12 Deep Learning Researchers and Leaders
Each listing also includes direct links to the individual’s website, Twitter account, LinkedIn recent activity, Facebook profile, Google Scholar profile, and publication list on arXiv to ...
Understanding Deep Learning (Still) Requires Rethinking Generalization
In this work, we presented a simple experimental framework for interrogating purported measures of generalization.
Deep Learning and Neural Networks: An Introdution
“I learned very early the difference of knowing the name of something and knowing something.” –Richard Feynman Terms like deep learning and neural networks get tossed around a lot lately ...
Visualize Machine Learning And Deep Learning
You'll find Best Machine Learning Visualization Tools, Best Free Resources To Learn ML, Cheat Sheet, Projects, etc for Deep Learning & Neural Networks
What is Deep Learning?
Deep Learning is a technique that is a subset of machine learning (ML), that refers to training of Neural Networks. Machine Learning allows…