A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System
David Tschopp et al.: https://arxiv.org/abs/1806.04793
#artificialintelligence #machinelearning #neuralnetworks
@ArtificialIntelligenceArticles
David Tschopp et al.: https://arxiv.org/abs/1806.04793
#artificialintelligence #machinelearning #neuralnetworks
@ArtificialIntelligenceArticles
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Cat-to-cat translation with pix2pix
Code : https://github.com/keijiro/Pix2Pix @ArtificialIntelligenceArticles
Code : https://github.com/keijiro/Pix2Pix @ArtificialIntelligenceArticles
On the Learning Dynamics of Deep Neural Networks.
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron Courville, and Yoshua Bengio
https://arxiv.org/abs/1809.06848
@ArtificialIntelligenceArticles
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron Courville, and Yoshua Bengio
https://arxiv.org/abs/1809.06848
@ArtificialIntelligenceArticles
Blake Richards: Deep Learning with Ensembles of Neocortical Microcircuits
An inspiring talk by Blake Richards at the ICLR2018 emphasizing the interaction between neuroscience and machine learning. This intersection is where great things happen.
https://goo.gl/1YCjrm
https://t.iss.one/ArtificialIntelligenceArticles
An inspiring talk by Blake Richards at the ICLR2018 emphasizing the interaction between neuroscience and machine learning. This intersection is where great things happen.
https://goo.gl/1YCjrm
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Blake Richards: Deep Learning with Ensembles of Neocortical Microcircuits (ICLR 2018 invited talks)
Abstract: Deep learning in artificial intelligence (AI) has demonstrated that learning hierarchical representations is a good approach for generating useful sensorimotor behaviors. However, the key to effective hierarchical learning is a mechanism for ""credit…
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Strobelt et al.: https://seq2seq-vis.io
Strobelt et al.: https://seq2seq-vis.io
An online TensorFlow handbook (https://tf.wiki/ ) based on Eager Execution
(Both Chinese and English version are available online)
Open-sourced on GitHub : https://github.com/snowkylin/TensorFlow-cn
(Both Chinese and English version are available online)
Open-sourced on GitHub : https://github.com/snowkylin/TensorFlow-cn
Deep Reinforcement Learning
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
How to write a great research paper
چگونه یک مقاله خوب بنویسید تهیه شده توسط Nando de Freitas و شرکت DeepMind و دانشگاه نیویورک و....
https://goo.gl/HeanCW @ArtificialIntelligenceArticles
چگونه یک مقاله خوب بنویسید تهیه شده توسط Nando de Freitas و شرکت DeepMind و دانشگاه نیویورک و....
https://goo.gl/HeanCW @ArtificialIntelligenceArticles
ArtificialIntelligenceArticles
How to write a great research paper چگونه یک مقاله خوب بنویسید تهیه شده توسط Nando de Freitas و شرکت DeepMind و دانشگاه نیویورک و.... https://goo.gl/HeanCW @ArtificialIntelligenceArticles
YouTube
How to Write a Great Research Paper
Writing papers and giving talks are key skills for any researcher, but they aren’t easy. In this pair of presentations, I’ll describe simple guidelines that I follow for writing papers and giving talks, which I think may be useful to you too. I don’t have…
AI + Aerospace | Cosmology | Physics
A few useful references : https://goo.gl/gMQru4 #References
#aerospace #artificialintelligence #cosmology
A few useful references : https://goo.gl/gMQru4 #References
#aerospace #artificialintelligence #cosmology
Dynamical, symplectic and stochastic perspectives on optimization
Michael Jordan – ICM2018 : https://youtu.be/wXNWVhE2Dl4 @ArtificialIntelligenceArticles
Michael Jordan – ICM2018 : https://youtu.be/wXNWVhE2Dl4 @ArtificialIntelligenceArticles
The mathematics of machine learning and deep learning – Sanjeev Arora – ICM2018 https://goo.gl/vj2yCF @ArtificialIntelligenceArticles
Why building your own Deep Learning computer is 10x cheaper than AWS
https://goo.gl/4ZbUf8 @ArtificialIntelligenceArticles
https://goo.gl/4ZbUf8 @ArtificialIntelligenceArticles
Speech and Language Processing (3rd ed. draft)
Dan Jurafsky and James H. Martin : https://web.stanford.edu/~jurafsky/slp3/
Dan Jurafsky and James H. Martin : https://web.stanford.edu/~jurafsky/slp3/
Series of Jupyter Notebooks with step-by-step introduction to data science and machine learning
Code : https://github.com/rasbt/python-machine-learning-book-2nd-edition
Code : https://github.com/rasbt/python-machine-learning-book-2nd-edition
Computer Vision dataset search
visualdata.io is a great resource for exploring computer vision datasets : https://www.visualdata.io/
visualdata.io is a great resource for exploring computer vision datasets : https://www.visualdata.io/
ICLR 2019 submission is closed and papers are now available to view
Nearly 1600 submissions received: https://openreview.net/group?id=ICLR.cc%2F2019%2FConference
Nearly 1600 submissions received: https://openreview.net/group?id=ICLR.cc%2F2019%2FConference
#iclr2019
Some early keyword analysis and topic modeling:
https://colab.research.google.com/drive/1jG5ilLQUvxvZ-HB60ovc4Ve_UK5ICoFT
Some early keyword analysis and topic modeling:
https://colab.research.google.com/drive/1jG5ilLQUvxvZ-HB60ovc4Ve_UK5ICoFT
Rules of Machine Learning: Best Practices for ML Engineering
By Martin Zinkevich: https://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
By Martin Zinkevich: https://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
TherML: The Thermodynamics of Machine Learning
Anonymous: https://openreview.net/forum?id=HJeQToAqKQ¬eId=HJeQToAqKQ @ArtificialIntelligenceArticles
Anonymous: https://openreview.net/forum?id=HJeQToAqKQ¬eId=HJeQToAqKQ @ArtificialIntelligenceArticles