Python stackoverflow Examples

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()?

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

I would like to restore commas and full stops in text without punctuation. For example, let's t… Read more How To Restore Punctuation Using Python?

I am trying to make an AutoEncoder and am stuck at the above error. Looking at other posts with thi… Read more Can Not Squeeze Dim[1], Expected A Dimension Of 1, Got 499

After reading several articles, I am still quite confused about correctness of my implementation of… Read more Taking The Last State From Bilstm (bigru) In Pytorch

This question is in continue to a previous question I've asked. I've trained an LSTM model … Read more Lstm - Making Predictions On Partial Sequence

I have dataset containing water samples collected from different locations. For example, ABC1 water… Read more Timeseries Input To An Lstm

I'm using keras 1.0.1 I'm trying to add an attention layer on top of an LSTM. This is what … Read more Keras Attention Layer Over Lstm

Or, more specific: what is the difference between ConvLSTM2D and ConvLSTM2DCell? What is the diffe… Read more What Is A "cell Class" In Keras?

I'm training a model to predict the stock price and input data is close price. I use 45 days da… Read more Error When Checking Target: Expected Dense_1 To Have 3 Dimensions, But Got Array With Shape (118, 1)

I'm trying to create an LSTM network in Tensorflow and I'm lost in terminology/basics. I ha… Read more Lstm Inputs For Tensorflow

For a model that I intend to spontaneously generate sequences I find that training it sample by sam… Read more On Training Lstms Efficiently But Well, Parallelism Vs Training Regime

here is my code a = x_test[-1:] b = model.predict(a) c = model.predict(np.array([list(a[0,1:])+[b]]… Read more How Can You Get The Following(next) Value Of Stock Price(time Series) With List Using For Loop?

I got an assignment and stuck with it while going down the rabbit hole of learning PyTorch, LSTM an… Read more Lstm-cnn To Classify Sequences Of Images

i am trying to implement multidimentional lstm in tensorflow, I am using TensorArray to remember pr… Read more Gradients Error Using Tensorarray Tensorflow

I have dataset containing water samples collected from different locations. For example, ABC1 water… Read more Timeseries Input To An LSTM

I am slightly confused on the different ways to apply dropout to my Sequential model in Keras. My m… Read more Does Applying A Dropout Layer After The Embedding Layer Have The Same Effect As Applying The Dropout Through The LSTM Dropout Parameter?

I have time series of P processes, each of varying length but all having 5 variables (dimensions). … Read more Training A Multi-variate Multi-series Regression Problem With Stateful LSTMs In Keras

def RNN(X, weights, biases): X = tf.reshape(X, [-1, n_inputs]) X_in = tf.matmul(X, weights[… Read more ResourceExhaustedError :OOM When Allocating Tensor With Shape []

I have a network with 2 inputs and 4 outputs. I have built an LSTM model with time step =5. import … Read more Error When Checking Target: Expected Dense_ To Have 3 Dimensions, But Got Array With Shape (100, 4)