Learn Deep Learning with this Free Course from Yann LeCun - Nov 27, 2020.
Here is a freely-available NYU course on deep learning to check out from Yann LeCun and Alfredo Canziani, including videos, slides, and other helpful resources.
Courses, Deep Learning, NYU, Yann LeCun
12 Deep Learning Researchers and Leaders - Sep 23, 2019.
Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.
Andrej Karpathy, Andrew Ng, Deep Learning, Demis Hassabis, Fei-Fei Li, Geoff Hinton, Ian Goodfellow, Influencers, Jeremy Howard, Research, Yann LeCun
- Cartoon: Unsupervised Machine Learning? - Sep 14, 2019.
New KDnuggets Cartoon looks at one of the hottest directions in Machine Learning and asks "Can Machine Learning be too unsupervised?"
Cartoon, Humor, Machine Learning, Unsupervised Learning, Yann LeCun
- The AGI/Deep Learning Connection - Feb 1, 2018.
Also, deep learning would definitely prove to be an essential component to create truly intelligent machines but probably not enough alone.
AGI, AI, Gary Marcus, Yann LeCun
- Exclusive: Interview with Rich Sutton, the Father of Reinforcement Learning - Dec 5, 2017.
My exclusive interview with Rich Sutton, the Father of Reinforcement Learning, on RL, Machine Learning, Neuroscience, 2nd edition of his book, Deep Learning, Prediction Learning, AlphaGo, Artificial General Intelligence, and more.
AGI, AI, AlphaGo, DeepMind, Machine Learning, Neuroscience, Reinforcement Learning, Richard Sutton, Yann LeCun
- The Strange Loop in Deep Learning - Jul 11, 2017.
This ‘strange loop’ is in fact is the fundamental reason for what Yann LeCun describes as “the coolest idea in machine learning in the last twenty years.”
Deep Learning, Neural Networks, Yann LeCun
- Yann LeCun Quora Session Overview - Aug 1, 2016.
Here is a quick oversight, with excerpts, of the Yann LeCun Quora Session which took place on Thursday July 28, 2016.
Deep Learning, Generative Adversarial Network, Quora, Yann LeCun
- The ICLR Experiment: Deep Learning Pioneers Take on Scientific Publishing - Feb 15, 2016.
Deep learning pioneers Yann LeCun and Yoshua Bengio have undertaken a grand experiment in academic publishing. Embracing a radical level of transparency and unprecedented public participation, they've created an opportunity not only to find and vet the best papers, but also to gather data about the publication process itself.
Academics, arXiv, Deep Learning, ICLR, Neural Networks, Yann LeCun, Yoshua Bengio, Zachary Lipton
21 Must-Know Data Science Interview Questions and Answers - Feb 11, 2016.
KDnuggets Editors bring you the answers to 20 Questions to Detect Fake Data Scientists, including what is regularization, Data Scientists we admire, model validation, and more.
Pages: 1 2 3
Bootstrap sampling, Data Science, Interview Questions, Kirk D. Borne, Precision, Recall, Regularization, Yann LeCun
- Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1 - Mar 25, 2015.
An recent interview from the talking machine podcast with three deep learning experts. They talked about the neural network winter and its renewal.
convnet, Deep Learning, Geoff Hinton, Neural Networks, Ran Bi, Yann LeCun, Yoshua Bengio
- Small Data requires Specialized Deep Learning and Yann LeCun response - Mar 19, 2015.
For industries that have relatively small data sets (less than a petabyte), a Specialized Deep Learning approach based on unsupervised learning and domain knowledge is needed.
Pages: 1 2
Big Data, Deep Learning, Small Data, Yann LeCun
- Deep Learning for Text Understanding from Scratch - Mar 13, 2015.
Forget about the meaning of words, forget about grammar, forget about syntax, forget even the very concept of a word. Now let the machine learn everything by itself.
convnet, Deep Learning, Francois Petitjean, Text Classification, Torch, Yann LeCun
- Facebook Open Sources deep-learning modules for Torch - Feb 9, 2015.
We review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.
Artificial Intelligence, Deep Learning, Facebook, GPU, Neural Networks, NYU, Ran Bi, Torch, Yann LeCun
- Geoffrey Hinton talks about Deep Learning, Google and Everything - Dec 1, 2014.
A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.
Deep Learning, DeepMind, Geoff Hinton, Google, Neural Networks, Reddit, Yann LeCun
- Deep Learning – important resources for learning and understanding - Aug 21, 2014.
New and fundamental resources for learning about Deep Learning - the hottest machine learning method, which is approaching human performance level.
Deep Learning, Image Recognition, Machine Learning, Yann LeCun, Yoshua Bengio
- NYU Data Science Program – Things to Know - Jun 13, 2014.
Inside summary of NYU Data Science program launched last year, what it is, and what makes it special.
Data Science, Deep Learning, New York-NY, NYU, Ran Bi, Yann LeCun
- Where to Learn Deep Learning – Courses, Tutorials, Software - May 26, 2014.
Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning.
Andrew Ng, Deep Learning, Geoff Hinton, Machine Learning, Yann LeCun
- KDnuggets Exclusive: Part 2 of the Interview with Yann LeCun - Feb 20, 2014.
We discuss how far AI is likely to go, how Data Science to Statistics is like Computer Science was to Math, Big Data hype and reality, and advice to beginning Data Scientists.
AI, Artificial Intelligence, Big Data Hype, NYU, Singularity, Yann LeCun
- KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab - Feb 20, 2014.
We discuss what enabled Deep Learning to achieve remarkable successes recently, his argument with Vapnik about (deep) neural nets vs kernel (support vector) machines, and what kind of AI can we expect from Facebook.
Andrew Ng, Deep Learning, Facebook, Interview, NYU, Support Vector Machines, Vladimir Vapnik, Yann LeCun
