Posts tagged : Dnn

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Published on
October 2, 2017
Deep PocketsGoogle Reddit AMA (2017)
Google DNN
Published on
September 27, 2017
Failures, Hurdles & OpportunitiesGoogle Reddit AMA (2017)
Google DNN
Published on
September 18, 2017
Unsupervised LearningGoogle Reddit AMA (2017)
Unsupervised DNN
Published on
December 27, 2016
Deep Learning FrameworksMNIST CNN - Rosetta Stone
MNIST DNN
Published on
December 10, 2016
Review of TensorFlow sugar coatingsCompare and Contrast
DNN TensorFlow
Published on
November 26, 2016
Layers on top of TensorFlowMNIST CNN - Rosetta Stone
MNIST DNN TensorFlow
Published on
October 18, 2016
Compressing Word EmbeddingsICONIP-2016 Paper
Paper Word-Embeddings Sparse NLP DNN
Published on
July 30, 2016
Fifth Elephant : Deep Learning WorkshopPreview
Workshop theano lasagne VirtualBox DNN
Published on
July 23, 2016
DataScienceSG 2016 : Deep Learning WorkshopPresentation
Workshop theano lasagne VirtualBox DNN
Published on
June 23, 2016
PyConSG 2016 : Deep Learning WorkshopPresentation
Workshop theano lasagne VirtualBox DNN
Published on
March 19, 2016
FOSSASIA 2016 : Deep Learning WorkshopPresentation
Workshop theano lasagne VirtualBox DNN
Published on
November 24, 2015
Learning NER from ExpertsIES-2015 Paper
Paper NER theano blocks DNN
Published on
October 23, 2015
Binary Classification vs Probability Regression{0,1} works better than (0,1)
DNN
Published on
October 19, 2015
Building Google's 1 Billion word corpusKaggle's version is identical
Corpus DNN
Published on
October 16, 2015
MonteCarlo for NN Initialisation Parameters
DNN
Published on
August 31, 2015
Reinforcement Learning CoursePerformance-based Rewards (Musings)
DNN RL
Published on
August 27, 2015
GTC South Asia : NER PosterPoster
Poster NER theano blocks DNN
Published on
August 16, 2015
The Future of Mind - SG Futurists MeetUpPresentation
GOFAI AGI DNN
Published on
June 19, 2015
Machine Learning - Going Deeper with Python and TheanoPresentation
theano blocks bokeh pycon DNN
Published on
February 14, 2015
Batch Normalization - Accelerating Deep Network Training by Reducing Internal Covariate ShiftPaper Takeaway
PaperTakeaway DNN
Published on
January 15, 2015
1 Billion Words for NLPPresentation
NLP DNN
Published on
December 18, 2014
Deep Learning with a little JavascriptPresentation Link
NLP DNN
Published on
December 10, 2014
Understanding English - In 600 lines of ScalaPresentation
NLP DNN
Published on
November 17, 2014
TrailblazingMavericks Required
NLP PCA DNN
Published on
October 14, 2014
Low Entropy Coding with Unsupervised Neural Networks - Harpur 1997Thesis Takeaway
PaperTakeaway DNN
Published on
October 13, 2014
GloVe - Global Vectors for Word Representation - Pennington, Socher, Manning 2014Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
October 12, 2014
Learning word embeddings efficiently with noise-contrastive estimation - Mnih 2013Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
October 7, 2014
Scalable Hierarchical Distributed Language Model - Mnih and Hinton 2009Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
September 29, 2014
Word Representations in Vector Space - Mikolov 2013Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
September 28, 2014
Neural Probabilistic Language Model - Bengio 2003Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
September 17, 2014
Do Deep Nets Really Need to be Deep?Paper Takeaway
PaperTakeaway DNN
Published on
December 30, 2012
Neurons : Pyramids vs SheetsIs there really a pyramidal funnel from input to output?
Fundamentals DNN
Published on
December 16, 2012
The Grandmother NeuronWhat to expect from a Grandmother Neuron
Fundamentals DNN
Published on
December 9, 2012
Sparse NetworksAre Neural Networks over-connected?
DNN
Published on
December 2, 2012
Real Neurons are Very ComplexHow realistic do we need our neural models to be?
DNN
Published on
November 25, 2012
How Much Domain Knowledge is Built-In?Not cheating at vision tasks
DNN
Published on
November 4, 2012
Learning without LabelsAvoiding local minima during childhood
Fundamentals DNN
Published on
October 28, 2012
Parallelism through TimeNeural Networks converge continuously
Parallelism DNN
Published on
October 21, 2012
Dropouts : 2^N networks for 2xN work?How 'dropout' relate to an idea from Genetic Algorithms
Fundamentals Dropout DNN
Published on
October 14, 2012
Unreliability & RobustnessWhat 'dropouts' mean for learning
Fundamentals Dropout DNN
Published on
October 7, 2012
Hierarchy and ConnectednessIs the brain pre-wired in a top-down hierarchy?
Philosophy Fundamentals DNN
Published on
September 2, 2012
Levels of ProcessingThe brain's scope may not be all bad news
Fundamentals DNN
Published on
August 26, 2012
Brain Homogeneity is Very EncouragingSimply replicating one good idea should scale up to AI (somehow)
Philosophy Fundamentals DNN

Posts tagged : Dnn

Navigation

dnn (43)

Deep PocketsGoogle Reddit AMA (2017)

Failures, Hurdles &amp; OpportunitiesGoogle Reddit AMA (2017)

Unsupervised LearningGoogle Reddit AMA (2017)

Deep Learning FrameworksMNIST CNN - Rosetta Stone

Review of TensorFlow sugar coatingsCompare and Contrast

Layers on top of TensorFlowMNIST CNN - Rosetta Stone

Compressing Word EmbeddingsICONIP-2016 Paper

Fifth Elephant : Deep Learning WorkshopPreview

DataScienceSG 2016 : Deep Learning WorkshopPresentation

PyConSG 2016 : Deep Learning WorkshopPresentation

FOSSASIA 2016 : Deep Learning WorkshopPresentation

Learning NER from ExpertsIES-2015 Paper

Binary Classification vs Probability Regression{0,1} works better than (0,1)

Building Google's 1 Billion word corpusKaggle's version is identical

MonteCarlo for NN Initialisation Parameters

Reinforcement Learning CoursePerformance-based Rewards (Musings)

GTC South Asia : NER PosterPoster

The Future of Mind - SG Futurists MeetUpPresentation

Machine Learning - Going Deeper with Python and TheanoPresentation

Batch Normalization - Accelerating Deep Network Training by Reducing Internal Covariate ShiftPaper Takeaway

1 Billion Words for NLPPresentation

Deep Learning with a little JavascriptPresentation Link

Understanding English - In 600 lines of ScalaPresentation

TrailblazingMavericks Required

Low Entropy Coding with Unsupervised Neural Networks - Harpur 1997Thesis Takeaway

GloVe - Global Vectors for Word Representation - Pennington, Socher, Manning 2014Paper Takeaway

Learning word embeddings efficiently with noise-contrastive estimation - Mnih 2013Paper Takeaway

Scalable Hierarchical Distributed Language Model - Mnih and Hinton 2009Paper Takeaway

Word Representations in Vector Space - Mikolov 2013Paper Takeaway

Neural Probabilistic Language Model - Bengio 2003Paper Takeaway

Do Deep Nets Really Need to be Deep?Paper Takeaway

Neurons : Pyramids vs SheetsIs there really a pyramidal funnel from input to output?

The Grandmother NeuronWhat to expect from a Grandmother Neuron

Sparse NetworksAre Neural Networks over-connected?

Real Neurons are Very ComplexHow realistic do we need our neural models to be?

How Much Domain Knowledge is Built-In?Not cheating at vision tasks

Learning without LabelsAvoiding local minima during childhood

Parallelism through TimeNeural Networks converge continuously

Dropouts : 2^N networks for 2xN work?How 'dropout' relate to an idea from Genetic Algorithms

Unreliability & RobustnessWhat 'dropouts' mean for learning

Hierarchy and ConnectednessIs the brain pre-wired in a top-down hierarchy?

Levels of ProcessingThe brain's scope may not be all bad news

Brain Homogeneity is Very EncouragingSimply replicating one good idea should scale up to AI (somehow)

Failures, Hurdles & OpportunitiesGoogle Reddit AMA (2017)