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Hello,
I'm having troubles to understand whether something is possible for such example:
For instance I have two different feature sets (A & B) and I want to use CNN for A and LSTM for B and co…
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my network is given below
case 1 42 features
model = Sequential()
model.add(LSTM(4,input_dim=42)) # try using a GRU instead, for fun
model.add(Dropout(0.1))
model.add(Dense(5))
model.add(Act…
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Hello, thanks in advance for your help and for the developers of Keras!
I am working with LSTM networks, actually I am trying to create a CNN+LSTM network that takes as inputs images with 3 channel…
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Hi,
I think I need to prepare four preprocessed files (https://github.com/kracwarlock/action-recognition-visual-attention/tree/master/util). That said, I'm confused at how to get "train_features.h5".…
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I am unable to run any example that uses Convolution1D. I am pretty sure it used to work for me(because I actually wrote one of those examples). I thought it might be some memory issue, but its not. …
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Hi @ebonyclock , I wanna train an agent in health_grathering scenario with A3C algorithm, to train it
`python3 train_a3c.py -s settings/health_gathering.yml`
with `a3c_defaults.yml` settings.
…
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Hello,
When trying to run the examples I get a Segmentation Fault.
Here is my conf: Hackintosh, macOS Sierra 10.12.6, clang 9.0.0
I tried to do a npm rebuild of the node_modules, with no more luc…
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I want to use my own loss to compute gradient. The loss function is listed as below.
def my_loss(y_true, y_pred):
def step(y_true_step, y_pred_step):
true, pred = label_…
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I have a pretrained model for sentiment analysis that was trained on texts with maximum length `m_1` and now I want to put the model in production for texts with maximum length `m_2`. How do I easily …
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Is it possible given this implementation to train an acoustic models given a different kind of inputs than audio frames?.. In my case spectrograms of audio files.
I an currently seeking a way in …
Miail updated
7 years ago