Questions tagged [keras]
Keras is a popular, open-source deep learning API for Python built on top of TensorFlow and is useful for fast implementation. Topics include efficient low-level tensor operations, computation of arbitrary gradients, scalable computations, export of graphs, etc.
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Cant pass input_shape to LSTM layer in Keras
I have a numpy array X_train of shape (number of samples, timestep , number of features) =...
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Why does the AutoKeras NAS require reshaping of data?
Please take a look at the following source codes:
training.py
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How to choose the right typt of ANN architecture for a regression model
So, im working on a project where i am leveraging ai to get accurate price predictions in terms of houses and real estate properties. I would like to use an artificial neural network so now i have to ...
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Conv1D layer input and output in keras with input shape having 4 dimensions
Keras example on conv1d they mention that input shape can have 4 dimensions:
With extended batch shape [4, 7] (e.g. weather data where batch dimensions correspond to spatial location and the third ...
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Why is the sprase categorical accuracy decreasing every epoch and predictions are always NaN?
Problem Summary
My model is built and compiled properly but gets the NaN validation loss on all epochs. The training set accuracy is also infinitesimally small and keeps decreasing. I couldn't find a ...
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Meaning of mean squared error in multistep prediction
In multistep prediction with LSTM(keras), say we had this kind of result:
target = [[1,2,3] ,[4,5,6] ]
predictions = [[1.1,2.2,3.3] , [4.4,5.5,6.6]]
When we choose mean_squared_error as the loss ...
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LSTM - How can I predict the status an hour before in advance?
I’m very beginner, I’m trying to design a prediction model for forecasting the status one hour ahead.I have 150 sample data, each consisting of of 24 hours of time-series data with multiple features (...
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Role of stateful parameter vs shuffle parameter in LSTM keras
I'm trying to make prediction on a multivariate time series using LSTM. I know stateful=True in keras LSTM means state(hidden) of each sequence, in a batch, at index i - is passed to the next batch, ...
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Custom Loss Function Returns Graph Execution Error: Can not squeeze dim[0], expected a dimension of 1, got 32
I have built a loss function which adds time and frequency weighted averages and variances to the MSE:
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Custom loss and metric functions including additional parameter in Keras
The following example is based on this approach.
Similar to that approach, I am wanting to pass an additional parameter with y_true for my custom metric, as both will be used in the computation of ...
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Value Error: One of the dimensions in the output is <= 0 due to downsampling in conv1d_9
i am trying to implement classification model on my dataset, which has 3 columns and 651 rows
Displacement Time Labels
0.000245879 0.01 Undamage
0.001954869 0.02 Damage
0.006545664 0.03 Undamage
0....
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RNN model for predicting sequences based on sequences of different lengths with Keras
I have data that are sequences of repeated values of different lengths. The value is categorical and can take values from 1 to 184. I used padded with 0 and masking:
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numpy in call method: how to run without eager execution?
I wrote an implementation of a feedback recurrent autoencoder in Keras. The key difference to a regular autoencoder is, that the decoded output is fed back to the input layers of both, encoder and ...
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how to implement federated transfer learning?
I'm exploring the concept of Federated Learning and Transfer Learning and am interested in combining both to implement Federated Transfer Learning. I understand that Federated Learning allows model ...
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