Question

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

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

500

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

Published on 26 June 2015 at 14:16

score 346 · Answer 2 · 2016-12-20 04:05:22

346

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

Published on 20 December 2016 at 04:05

score 926 · Answer 3 · 2017-01-06 00:02:06

926

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Convolutional Neural Network - Visualizing weights

Published on 06 January 2017 at 00:02

score 99 · Answer 4 · 2016-02-22 22:24:13

99

Views

nolearn auto add hidden layers

Published on 22 February 2016 at 22:24

score 725 · Answer 5 · 2016-02-21 08:03:19

725

Views

removing bias from neural network layer

Published on 21 February 2016 at 08:03

score 424 · Answer 6 · 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 116 · Answer 7 · 2016-02-26 20:50:19

116

Views

Speedup nolearn function for occlusion heat maps

Published on 26 February 2016 at 20:50

score 443 · Answer 8 · 2015-08-20 09:00:17

443

Views

Aggregate predictions with data augmentation in lasagne

Published on 20 August 2015 at 09:00

score 2.5k · Answer 9 · 2015-08-24 16:26:20

2.5k

Views

nolearn for multi-label classification

Published on 24 August 2015 at 16:26

score 1.6k · Answer 10 · 2015-08-25 18:33:46

1.6k

Views

Theano TensorType error

Published on 25 August 2015 at 18:33

score 3.3k · Answer 11 · 2015-08-22 01:01:15

3.3k

Views

How to define a cost function in nolearn, lasagne?

Published on 22 August 2015 at 01:01

score 1.1k · Answer 12 · 2015-08-25 15:56:31

1.1k

Views

nolearn 0.5 are not compatible with lasagne 0.1 or 0.2?

Published on 25 August 2015 at 15:56

score 935 · Answer 13 · 2016-02-01 16:22:38

935

Views

How can you train multiple neural networks simultaneously in nolearn/lasagne/theano on Python?

Published on 01 February 2016 at 16:22

score 100 · Answer 14 · 2016-02-05 03:30:02

100

Views

Consistency testing results of NeuralNet nolearn

Published on 05 February 2016 at 03:30

score 79 · Answer 15 · 2016-05-15 02:19:03

79

Views

Working with Theano and Lasagne AttributeError

Published on 15 May 2016 at 02:19

score 187 · Answer 16 · 2016-06-20 15:51:54

187

Views

How to get values of neurons on layer? Python-nolearn

Published on 20 June 2016 at 15:51

score 528 · Answer 17 · 2016-08-13 12:09:33

528

Views

Cutoff on Neural Network regression predictions

Published on 13 August 2016 at 12:09

score 132 · Answer 18 · 2016-08-18 08:30:21

132

Views

Approximating a simple sin() function with lasagne

Published on 18 August 2016 at 08:30

score 341 · Answer 19 · 2015-11-21 12:29:01

341

Views

Nolearn raises an index error when running a classification, but not with regression

Published on 21 November 2015 at 12:29

score 1.7k · Answer 20 · 2015-11-20 17:34:39

1.7k

Views

Lasagne/nolearn autoencoder - how to get hidden layer output?

Published on 20 November 2015 at 17:34

List Question

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

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

Convolutional Neural Network - Visualizing weights

nolearn auto add hidden layers

removing bias from neural network layer

Unset trainable attributes for parameters in lasagne / nolearn neural networks

Speedup nolearn function for occlusion heat maps

Aggregate predictions with data augmentation in lasagne

nolearn for multi-label classification

Theano TensorType error

How to define a cost function in nolearn, lasagne?

nolearn 0.5 are not compatible with lasagne 0.1 or 0.2?

How can you train multiple neural networks simultaneously in nolearn/lasagne/theano on Python?

Consistency testing results of NeuralNet nolearn

Working with Theano and Lasagne AttributeError

How to get values of neurons on layer? Python-nolearn

Cutoff on Neural Network regression predictions

Approximating a simple sin() function with lasagne

Nolearn raises an index error when running a classification, but not with regression

Lasagne/nolearn autoencoder - how to get hidden layer output?

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