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Showing posts with the label Keras

Custom Loss Function Implementation Issue In Keras

I am implementing a custom loss function in keras. The output of the model is 10 dimensional softma… Read more Custom Loss Function Implementation Issue In Keras

How To Extract Cell State Of Lstm Model Through Model.fit()?

My LSTM model is like this, and I would like to get state_c def _get_model(input_shape, latent_dim,… Read more How To Extract Cell State Of Lstm Model Through Model.fit()?

Bert Get Sentence Level Embedding After Fine Tuning

I came across this page 1) I would like to get sentence level embedding (embedding given by [CLS] t… Read more Bert Get Sentence Level Embedding After Fine Tuning

Timedistributed With Lstm In Keyword Spotter

I am working on a keyword spotter that processes an audio input and returns the class of the audio … Read more Timedistributed With Lstm In Keyword Spotter

How Do I Build A Tfmodel From Numpy Array Files?

I have a dir with NumPy array files: bias1.npy, kernel1.npy, bias2.npy, kernel2.npy. How can I buil… Read more How Do I Build A Tfmodel From Numpy Array Files?

Very Large Loss Values When Training Multiple Regression Model In Keras

I was trying to build a multiple regression model to predict housing prices using the following fea… Read more Very Large Loss Values When Training Multiple Regression Model In Keras

Typeerror: Fit_generator() Got An Unexpected Keyword Argument 'nb_val_samples'

I am trying to make a handwriting classifier by referencing the article: https://github.com/priya-d… Read more Typeerror: Fit_generator() Got An Unexpected Keyword Argument 'nb_val_samples'

Limit Neural Network Output To Subset Of Trained Classes

Is it possible to pass a vector to a trained neural network so it only chooses from a subset of the… Read more Limit Neural Network Output To Subset Of Trained Classes