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LeCun paper on deeplearning (Nature, 2015)

deep-learning convolution backpropagation

answered 3 hours ago Fatemeh_Asgarinejad 434

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1

answer

16

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Looking for animals dataset for deep learning classification

machine-learning deep-learning dataset image-classification computer-vision

modified 6 hours ago Anno 6

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0

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6

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Autoencoder not overfitting data after large number of epochs and small number of samples

machine-learning python deep-learning autoencoder overfitting

asked 7 hours ago Kasyap Raguram Chakravadhanula 1

2

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Does partial transfer learning require a lot of computer power?

machine-learning python neural-network deep-learning transfer-learning

answered 9 hours ago ashukid 149

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8

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Is Faster RCNN the same thing as VGG-16, RESNET-50, etc… or not?

neural-network deep-learning faster-rcnn vgg16

answered 9 hours ago ashukid 149

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Time Series Forecasting with RNNs

machine-learning deep-learning predictive-modeling lstm recurrent-neural-net

modified 11 hours ago Oliver.L 1

22

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7

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25k

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Are there free cloud services to train machine learning models?

machine-learning neural-network deep-learning cloud-computing

modified 13 hours ago Community♦ 1

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Neural network got a lucky guess. Can it be trusted?

neural-network deep-learning

answered 14 hours ago Leevo 740

5

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3k

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GAN vs DCGAN difference

deep-learning convolution gan

modified 14 hours ago n1k31t4 7,616

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4

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33

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Keras model giving error when fields of unseen test data and train data are not same

machine-learning deep-learning keras image-classification machine-learning-model

modified 16 hours ago Viktor 434

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16

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No gradients provided for any variable

deep-learning keras deep-network

answered 19 hours ago Antonio Jurić 749

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is “choosing a Q” in chapter 2 in the deep learning book an actual step in eigendecomposition?

machine-learning deep-learning

asked 19 hours ago baojieqh 82

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3

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39

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How to know when to stop trainning a deep network?

deep-learning training recurrent-neural-net

answered 19 hours ago GrizZ 108

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Application of Varitiational Auto Encoders in improving the generalizability of classifiers when there is limited amount of data?

deep-learning autoencoder generative-models

asked 20 hours ago Shamane Siriwardhana 412

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LeCun paper on deeplearning (Nature, 2015)

Looking for animals dataset for deep learning classification

Autoencoder not overfitting data after large number of epochs and small number of samples

Does partial transfer learning require a lot of computer power?

Is Faster RCNN the same thing as VGG-16, RESNET-50, etc… or not?

Time Series Forecasting with RNNs

Are there free cloud services to train machine learning models?

Neural network got a lucky guess. Can it be trusted?

GAN vs DCGAN difference

Keras model giving error when fields of unseen test data and train data are not same

No gradients provided for any variable

is “choosing a Q” in chapter 2 in the deep learning book an actual step in eigendecomposition?

How to know when to stop trainning a deep network?

Application of Varitiational Auto Encoders in improving the generalizability of classifiers when there is limited amount of data?

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