Deep Learning In The Brain. #BigData #DeepLearning #MachineLearning #DataScience #AI #NeuroScience
https://buff.ly/2vuFkZy
https://buff.ly/2vuFkZy
1️⃣An Overview of Multi-Task Learning in Deep #NeuralNetworks
http://buff.ly/2t0zpqG
#DeepLearning #NLP #BigData
2️⃣GAN Timeline - "showing the development of Generative Adversarial Networks
https://github.com/dongb5/GAN-Timeline
3️⃣Comparison of Deepnet & Neuralnet
https://www.datasciencecentral.com/profiles/blogs/comparison-of-deepnet-neuralnet
@ArtificialIntelligenceArticles
http://buff.ly/2t0zpqG
#DeepLearning #NLP #BigData
2️⃣GAN Timeline - "showing the development of Generative Adversarial Networks
https://github.com/dongb5/GAN-Timeline
3️⃣Comparison of Deepnet & Neuralnet
https://www.datasciencecentral.com/profiles/blogs/comparison-of-deepnet-neuralnet
@ArtificialIntelligenceArticles
Sebastian Ruder
An Overview of Multi-Task Learning for Deep Learning
This blog post gives an overview of multi-task learning in deep neural networks. It discusses existing approaches as well as recent advances.
Talos : Hyperparameter Scanning and Optimization for Keras
Code : https://github.com/autonomio/talos
#ai #bigdata #machinelearning
Code : https://github.com/autonomio/talos
#ai #bigdata #machinelearning
Ten Simple Rules for Reproducible Research in Jupyter Notebooks
Rule et al.: https://arxiv.org/abs/1810.08055
#100DaysOfMLCode #BigData #ComputerScience #DataScience #MachineLearning
Rule et al.: https://arxiv.org/abs/1810.08055
#100DaysOfMLCode #BigData #ComputerScience #DataScience #MachineLearning
DIVE: Turn your data into stories without writing code
The publicly available system integrates semi-automated visualization and statistical analysis features. By the MIT Media Lab
https://dive.media.mit.edu
#ArtificialIntelligence #BigData #MachineLearning
@ArtificialIntelligenceArticles
The publicly available system integrates semi-automated visualization and statistical analysis features. By the MIT Media Lab
https://dive.media.mit.edu
#ArtificialIntelligence #BigData #MachineLearning
@ArtificialIntelligenceArticles
New research group at Oxford Comp Sci!
Oxford Applied and Theoretical Machine Learning Group (OATML): http://oatml.cs.ox.ac.uk/
#artificialintelligence #bigdata #machinelearning #neuralnetworks
Oxford Applied and Theoretical Machine Learning Group (OATML): http://oatml.cs.ox.ac.uk/
#artificialintelligence #bigdata #machinelearning #neuralnetworks
FishExplorer
1.5 million neurons, cell-level activity during multiple behaviors
15 TB raw, 56 GB compressed
18 fish whole-brain data, ~100k neurons/fish
Data and code: https://github.com/xiuyechen/fishexplorer
Paper:https://www.sciencedirect.com/science/article/pii/S0896627318308444
#bigdata #brain #datascience #machinelearning #research
1.5 million neurons, cell-level activity during multiple behaviors
15 TB raw, 56 GB compressed
18 fish whole-brain data, ~100k neurons/fish
Data and code: https://github.com/xiuyechen/fishexplorer
Paper:https://www.sciencedirect.com/science/article/pii/S0896627318308444
#bigdata #brain #datascience #machinelearning #research
GitHub
xiuyechen/FishExplorer
interactive analysis of calcium imaging data from larval zebrafish - xiuyechen/FishExplorer
Open Courses and Textbooks
By Samuel G. Finlayson: https://sgfin.github.io/learning-resources/
#artificialintelligence #bigdata #deeplearning #machinelearning #neuralnetworks
By Samuel G. Finlayson: https://sgfin.github.io/learning-resources/
#artificialintelligence #bigdata #deeplearning #machinelearning #neuralnetworks
The Physics of Brain Network Structure. #BigData #Analytics #DeepLearning https://arxiv.org/abs/1809.06441 @ArtificialIntelligenceArticles
SQuAD2.0: The Stanford Question Answering Dataset
Leaderboard: https://rajpurkar.github.io/SQuAD-explorer/
#artificialintelligence #bigdata #deeplearning #machinelearning #NaturalLanguageProcessing
Leaderboard: https://rajpurkar.github.io/SQuAD-explorer/
#artificialintelligence #bigdata #deeplearning #machinelearning #NaturalLanguageProcessing