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12 Questions

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168

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Should I prefer the model with the lowest validation loss or the highest validation accuracy to deploy?

Nov 22 at 18:03 Community♦ 1

votes

answer

146

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Is there a reason to use TensorFlow over PyTorch for research purposes?

deep-learning tensorflow comparison research pytorch

Feb 13 '20 at 2:08 nbro♦ 25.4k

votes

answer

123

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What are examples of machine learning techniques inspired by neuroscience?

machine-learning neuromorphic-engineering spiking-neural-networks neuroscience reservoir-computing

Apr 22 at 16:35 nbro♦ 25.4k

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106

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Applications of Information Theory in Machine Learning

machine-learning deep-learning information-theory

Nov 23 at 1:57 nbro♦ 25.4k

votes

answer

104

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Is there a reason to choose regular momentum over Nesterov momentum for neural networks?

neural-networks comparison loss-functions gradient-descent hyperparameter-optimization

Feb 5 '20 at 6:48 Ketil Malde 114

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Why do momentum techniques not work well for RNNs?

recurrent-neural-networks gradient-descent stochastic-gradient-descent momentum

Dec 13 at 12:37 nbro♦ 25.4k

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answers

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Machine learning frameworks for esoteric languages [closed]

machine-learning programming-languages resource-request

Feb 13 '20 at 18:53 SpiderRico 527

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Should we also shuffle the test dataset when training with SGD?

machine-learning training datasets stochastic-gradient-descent testing

Nov 3 at 13:57 nbro♦ 25.4k

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Is there any application of topology to deep learning?

deep-learning theory topology

May 3 at 23:37 DukeZhou♦ 6,010

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Are there optimizers that schedule their learning rate, momentum etc. autonomously?

optimization hyperparameter-optimization adam

Feb 6 '20 at 18:43 SpiderRico 527

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Image classification on SVG format

neural-networks convolutional-neural-networks image-recognition

Aug 5 at 5:12 SpiderRico 527

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Does feature scaling have any benefits if all features are on the same scale?

data-preprocessing features feature-engineering

Feb 24 at 19:10 Abhishek Verma 357

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12 Questions

Should I prefer the model with the lowest validation loss or the highest validation accuracy to deploy?

Is there a reason to use TensorFlow over PyTorch for research purposes?

What are examples of machine learning techniques inspired by neuroscience?

Applications of Information Theory in Machine Learning

Is there a reason to choose regular momentum over Nesterov momentum for neural networks?

Why do momentum techniques not work well for RNNs?

Machine learning frameworks for esoteric languages [closed]

Should we also shuffle the test dataset when training with SGD?

Is there any application of topology to deep learning?

Are there optimizers that schedule their learning rate, momentum etc. autonomously?

Image classification on SVG format

Does feature scaling have any benefits if all features are on the same scale?