python - Understanding Keras Long Short Term Memories (LSTMs)
Oct 30, 2024 · outputs = LSTM(units, return_sequences=True)(inputs) #output_shape -> (batch_size, steps, units) Achieving many to one: Using the exact same layer, keras will do the exact same …
Forecast future values with LSTM in Python - Stack Overflow
Nov 10, 2021 · Forecast future values with LSTM in Python Asked 4 years ago Modified 1 year, 6 months ago Viewed 21k times
Adding exogenous variables to my univariate LSTM model
How can I include these variables v1,v2 and v3 in my LSTM model? The implementation of the multivariate LSTM is very confusing to me. Edit to answer Yoan suggestion: For a dataframe with the …
python - How to increase accuracy of lstm training - Stack Overflow
Jun 13, 2019 · I trained quora question pair detection with LSTM but training accuracy is very low and always changes when i train. I dont understand what mistake i did. I tried changing loss and …
python - How to perform hyperparameter tuning of LSTM using ...
Aug 30, 2023 · I am new to deep learning, and I started implementing hyperparameter tuning for LSTM using GridSearchCV. My dataset contains 15551 rows and 21 columns and all values are of type …
python - Understanding Keras LSTMs: Role of Batch-size and …
Jan 29, 2018 · What is a Batch? From [4]: Keras uses fast symbolic mathematical libraries as a backend, such as TensorFlow and Theano. A downside of using these libraries is that the shape and …
python - LSTM: Understand timesteps, samples and features and ...
You seem to have a decent grasp of what LSTM expects and are just struggling with getting your data into the correct format. You start with an X_train of shape (217, 2) and you want to reshape this such …
python - How to work with multiple inputs for LSTM in Keras? - Stack ...
Mar 1, 2017 · How to work with multiple inputs for LSTM in Keras? Asked 8 years, 9 months ago Modified 6 years, 11 months ago Viewed 51k times
How to setup 1D-Convolution and LSTM in Keras - Stack Overflow
Jul 15, 2018 · I would like to use 1D-Conv layer following by LSTM layer to classify a 16-channel 400-timestep signal. The input shape is composed of: X = (n_samples, n_timesteps, n_features), where …
python - How to choose LSTM Keras parameters? - Stack Overflow
Jul 24, 2017 · I have multiple time series in input and I want to properly build an LSTM model. I'm really confused about how to choose the parameters. My code: model.add (keras.layers.LSTM …