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udibr
Automatically generate headlines to short articles
Dimensions must be equal, but are 40 and 50 for 'simplecontext_1/add' (op: 'Add') with input shapes: [64,40,40], [64,1,50].
When executing the command `samples = gensamples(X=X, skips=2, batch_size=batch_size, k=10, temperature=1.)` If X is the same size of maxlend nothing gets outputted. If X is larger or smaller than maxlend...
Data Set
Does the data set support for this kind of model if we use : .csv types I mean as an example: news_headings.csv Please help me!
I am trying to train the model but it is taking a lot of time since I am doing this on CPU, so can anyone provide the trained weights (if...
Will the model give good results if it is trained to generate an abstractive summary of a large piece of text? Will the model give good results if it is...
epoch training accuracy is not going above 60 percentage. I tried with different optimizers like adam, sgd and learning rates like 0.1, 0.001, 1e-4, 0.5 etc and also with batch...
How do i produce train.hdf5 file to load weights in model ? or How do i download train.hdf5 file to load weights in model in train.py?
I'm running the same code on test data and get strange weights back. ``` import h5py with h5py.File('data/%s.hdf5'%FN1, mode='r') as f: if 'layer_names' not in f.attrs and 'model_weights' in f:...
@udibr, I tried the prediction model and it works well with the dataset on which I trained it on. However, I am not able to figure out a way to...
Can someone help me with issue? when i am trying to run this block fname = 'glove.6B.%dd.txt'%embedding_dim import os datadir_base = os.path.expanduser(os.path.join('~', '.keras')) if not os.access(datadir_base, os.W_OK): datadir_base = os.path.join('/tmp',...
