Question

Can I use multiple labels for one feature vector with Lasagne?

score 500 · Answer 1 · 2015-06-26 14:16:57

500

Views

Can I use multiple labels for one feature vector with Lasagne?

Published on 26 June 2015 at 14:16

score 76 · Answer 2 · 2016-12-18 21:59:52

76

Views

Lasagne NN strange behavior with accuracy and weight convergence

Published on 18 December 2016 at 21:59

score 346 · Answer 3 · 2016-12-20 04:05:22

346

Views

How to store and read nolearn.lasagne NeuralNet models using pickle

Published on 20 December 2016 at 04:05

score 1.2k · Answer 4 · 2016-12-22 13:52:22

1.2k

Views

Theano/lasagne: how to predict with trained model

Published on 22 December 2016 at 13:52

score 576 · Answer 5 · 2016-12-29 11:20:22

576

Views

Why can't I use dropout in the last layer of a lasagne regression model?

Published on 29 December 2016 at 11:20

score 926 · Answer 6 · 2017-01-06 00:02:06

926

Views

Convolutional Neural Network - Visualizing weights

Published on 06 January 2017 at 00:02

score 51 · Answer 7 · 2017-09-12 14:34:11

51

Views

Missing method NeuralNet.train_split() in lasagne

Published on 12 September 2017 at 14:34

score 132 · Answer 8 · 2017-09-14 14:24:47

132

Views

Python randomly crashes when using theano

Published on 14 September 2017 at 14:24

score 539 · Answer 9 · 2018-11-04 19:48:57

539

Views

convert Lasagne to Keras code (CNN -> LSTM)

Published on 04 November 2018 at 19:48

score 172 · Answer 10 · 2018-11-14 11:48:07

172

Views

Is there any method in tensorflow like get_output in lasagne

Published on 14 November 2018 at 11:48

score 139 · Answer 11 · 2020-09-17 15:50:24

139

Views

import theano as CPU(directly trying to open GPU)

Published on 17 September 2020 at 15:50

score 1.1k · Answer 12 · 2016-02-12 06:58:37

1.1k

Views

Input dimension mismatch binary crossentropy Lasagne and Theano

Published on 12 February 2016 at 06:58

score 238 · Answer 13 · 2016-02-15 07:52:03

238

Views

Weird gradient results with recurrent layers

Published on 15 February 2016 at 07:52

score 725 · Answer 14 · 2016-02-21 08:03:19

725

Views

removing bias from neural network layer

Published on 21 February 2016 at 08:03

score 1.8k · Answer 15 · 2016-02-25 10:20:33

1.8k

Views

Max pooling indices

Published on 25 February 2016 at 10:20

score 424 · Answer 16 · 2016-02-26 01:59:51

424

Views

Unset trainable attributes for parameters in lasagne / nolearn neural networks

Published on 26 February 2016 at 01:59

score 213 · Answer 17 · 2016-02-25 11:01:49

213

Views

Probable issue with LSTM in lasagne

Published on 25 February 2016 at 11:01

score 689 · Answer 18 · 2016-02-26 13:16:51

689

Views

Best practice for training on large scale datasets like ImageNet using Theano/Lasagne?

Published on 26 February 2016 at 13:16

score 35 · Answer 19 · 2022-03-03 01:03:45

35

Views

How to traverse model layers as a tree in theano/lasagne?

Published on 03 March 2022 at 01:03

score 45 · Answer 20 · 2021-02-13 18:29:06

45

Views

TypeError('No suitable SharedVariable constructor could be found.') Using lasagne and theano

Published on 13 February 2021 at 18:29

List Question

Can I use multiple labels for one feature vector with Lasagne?

Lasagne NN strange behavior with accuracy and weight convergence

How to store and read nolearn.lasagne NeuralNet models using pickle

Theano/lasagne: how to predict with trained model

Why can't I use dropout in the last layer of a lasagne regression model?

Convolutional Neural Network - Visualizing weights

Missing method NeuralNet.train_split() in lasagne

Python randomly crashes when using theano

convert Lasagne to Keras code (CNN -> LSTM)

Is there any method in tensorflow like get_output in lasagne

import theano as CPU(directly trying to open GPU)

Input dimension mismatch binary crossentropy Lasagne and Theano

Weird gradient results with recurrent layers

removing bias from neural network layer

Max pooling indices

Unset trainable attributes for parameters in lasagne / nolearn neural networks

Probable issue with LSTM in lasagne

Best practice for training on large scale datasets like ImageNet using Theano/Lasagne?

How to traverse model layers as a tree in theano/lasagne?

TypeError('No suitable SharedVariable constructor could be found.') Using lasagne and theano

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