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14 Questions

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What are some use cases of discrete optimization in Deep Learning?

Apr 1 at 16:11 SpiderRico 586

votes

answers

220

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

neural-networks deep-learning applications overfitting early-stopping

Mar 23 at 5:56 CuCaRot 367

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answers

views

How to deal with losses on different scales in multi-task learning?

deep-learning loss-functions gradient-descent multi-task-learning

Mar 18 at 10:42 nbro♦ 26.3k

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answer

views

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 705

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views

Why do momentum techniques not work well for RNNs?

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

Dec 13 at 12:37 nbro♦ 26.3k

vote

answer

116

views

Applications of Information Theory in Machine Learning

machine-learning deep-learning information-theory

Nov 23 at 1:57 nbro♦ 26.3k

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answer

views

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♦ 26.3k

votes

answers

views

Image classification on SVG format

neural-networks convolutional-neural-networks image-recognition

Aug 5 at 5:12 SpiderRico 586

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answers

views

Is there any application of topology to deep learning?

deep-learning theory topology

May 3 '20 at 23:37 DukeZhou♦ 6,070

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answer

128

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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 '20 at 16:35 nbro♦ 26.3k

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answers

views

Machine learning frameworks for esoteric languages [closed]

machine-learning programming-languages resource-request

Feb 13 '20 at 18:53 SpiderRico 586

votes

answer

150

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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♦ 26.3k

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answers

views

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

optimization hyperparameter-optimization adam

Feb 6 '20 at 18:43 SpiderRico 586

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answer

111

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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 124

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14 Questions

What are some use cases of discrete optimization in Deep Learning?

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

How to deal with losses on different scales in multi-task learning?

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

Why do momentum techniques not work well for RNNs?

Applications of Information Theory in Machine Learning

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

Image classification on SVG format

Is there any application of topology to deep learning?

What are examples of machine learning techniques inspired by neuroscience?

Machine learning frameworks for esoteric languages [closed]

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

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

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