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14 Questions

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268

views

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

Mar 23 at 5:56 CuCaRot 392

vote

answer

164

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♦ 27.3k

votes

answer

161

views

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♦ 27.3k

vote

answer

148

views

Applications of Information Theory in Machine Learning

machine-learning deep-learning information-theory

Nov 23 at 1:57 nbro♦ 27.3k

votes

answer

128

views

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♦ 27.3k

votes

answer

121

views

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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answers

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♦ 27.3k

votes

answers

views

Machine learning frameworks for esoteric languages [closed]

machine-learning programming-languages resource-request

Feb 13 '20 at 18:53 SpiderRico 620

votes

answers

views

Is there any application of topology to deep learning?

deep-learning theory topology

May 3 '20 at 23:37 DukeZhou♦ 6,108

votes

answers

views

Image classification on SVG format

neural-networks convolutional-neural-networks image-recognition

Aug 5 at 5:12 SpiderRico 620

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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 620

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views

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

neural-networks deep-learning optimization

Apr 1 at 16:11 SpiderRico 620

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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 720

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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♦ 27.3k

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14 Questions

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

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

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

Applications of Information Theory in Machine Learning

What are examples of machine learning techniques inspired by neuroscience?

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]

Is there any application of topology to deep learning?

Image classification on SVG format

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

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

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

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