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1answer
16 views

Keras Prediction gives the same result for different classes in test set

all. I am using transfer learning to build a new model based on my own samples. The learning framework is Keras 2.0+. I modified the codes in reference to this page: Fine-tune InceptionV3 on a new ...
0
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0answers
14 views

Performance issues for a keras 1D ResNeXT based network

I'm trying to use a ResNeXT type architecture to classify some pairs of 77 length signals. However, even with a relatively modest 38k parameters, the model is obscenely slow to run, at around 12 days ...
0
votes
1answer
27 views

Same function in Keras Loss and Metric give different values even without regularization

I'm building a custom u-net for a semantic segmentation problem, but i'm seeing a weird behavior in the way that loss and metric are calculated during training, with very significative differences.I'...
0
votes
1answer
10 views

I can't add optimizer parameter in gridsearch

from keras.wrappers.scikit_learn import KerasClassifierfrom sklearn.model_selection import GridSearchCVdef build_classifier():classifier=Sequential()classifier.add(Dense(units=6 , init='...
0
votes
1answer
14 views

ValueError: Error when checking target: expected c_acti to have shape (10,) but got array with shape (1,)

I am trying to build the bidirectional LSTM. This is how source code looks like:model1=Sequential()model1.add(Embedding(vocabulary_size1, 50, weights=[embedding_matrix_passage], trainable=False))...
0
votes
1answer
19 views

How to prepare multiple physical sites with multiple variate for LSTM in Keras

I have multiple physical sites, and each site with multiple variate, how can I prepare the inputs, for example,10 sites,and each site have 1 main input:Water volumeand 2 secondary inputs:...
0
votes
1answer
19 views

Specify multiple loss function for model compilation in Keras

I want to specify 2 loss functions 1 for the object class which is cross-entropy and the other for the bounding box which is mean squared error. how to specify in model.compile each output with the ...
-4
votes
0answers
25 views

Keras Model.fit() “ No variables to save” [on hold]

I meet this question when i use Callback of Model.fit() in keras[please answer my question ,thanks !
0
votes
1answer
31 views

Purpose of 'tf.get_default_session()'

This question is about running sessions in TensorFlow.I am confused about what purpose tf.get_default_session().run(...) serves over tf.Session().run(...).Can't all cases of tf.get_default_session(...
-1
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0answers
20 views

How can i change the blocks number in tensorflow [on hold]

I have tested this code with tensorflow, tflearn and python3after running this code by default with 2 block give me accurency of 98%But when i want to change it to 4 block i got this error in the ...
-3
votes
0answers
23 views

Cloud computing free trial without credit card/debit card/bank account [on hold]

Does anyone know if there's any cloud computing service for deep learning that doesn't require a credit/debit card or bank account for a free trial? I'm already aware of FloydHub.
-3
votes
0answers
23 views

Is there official open source code for deep learning model such as LeNet or ResNet, and is it encouraged to use? [on hold]

Is there official built model for LeNet-5 and ResNet? I've searched on Github, but there are too many source code that I can't identify. If yes, then is it recommended to use it directly, or does most ...
-1
votes
0answers
6 views

how to create hdf5 file with features and labels in python [on hold]

present i am working on deepLearning coursera first assignment ,i created hdf5 file with my dataset but in the assignment they created features and labels for test and train data.But i don't know how ...
0
votes
1answer
32 views

Training a Keras model from batches of .npy files using generator?

Currently I am dealing with a big data issue when training Image data using Keras. I have directory which has batch of .npy file. Each batch contain 512 images. Each batch has its corresponding label ...
-2
votes
0answers
22 views

How to apply reinforcement learning to binary classification images? [on hold]

I need to create a model that classifies the image, and the user can correct the model with the wrong answer.

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