Currently i think i'm experiencing a systematic offset in a LSTM model, between the predictions and the ground truth values. What's the best approach to continue further from now on? The model arc...

I have this code on google colab which allows me to optimise an LSTM model using gridsearchCV, but recently an error message has appeared: ModuleNotFoundError: No module named 'keras.wrappers'. is ...

I am creating a chatbot trained on Cornell Movie Dialogs Corpus using NMT. I am basing my code in part from https://github.com/bshao001/ChatLearner and https://github.com/chiphuyen/stanford-tensor...

Continuation from previous question: Tensorflow - TypeError: 'int' object is not iterable My training data is a list of lists each comprised of 1000 floats. For example, x_train[0] = [0.0, ...

The dimensions for the input data for LSTM are [Batch Size, Sequence Length, Input Dimension] in tensorflow. What is the meaning of Sequence Length & Input Dimension ? How do we assign the v...

I have been working on a project for estimating the traffic flow using time series data combine with weather data. I am using a window of 30 values for my time series and I am using 20 weather rela...

Long story short: How to prepare data for lstm object detection retraining of the tensorflow master github implementation. Long story: Hi all, I recently found implementation a lstm object detec...

I developed a time series model with LSTM. I can't use it for predicting stock price in future days. I want to use it for predicting stock price for next year and plot it. How to use it for forecas...

I am working on a Time Series Forecasting problem using LSTM. The input contains several features, so I am using a Multivariate LSTM. The problem is that there are some missing values, for example...

I would like to know more details about the merge mode when using Bidirectional LSTM for sequence classification, and especially for the "Concat" merge mode which is still quite unclear t...

I am running the following code for LSTM on Databricks with GPU model = Sequential() model.add(LSTM(64, activation=LeakyReLU(alpha=0.05), batch_input_shape=(1, timesteps, n_features), stateful=Fa...

I'm trying to train Tesseract 4 with images instead of fonts. In the docs they are explaining only the approach with fonts, not with images. I know how it works, when I use a prior version of T...

I have run the model with LSTM as the first layer successfully. But out of curiosity, I replace LSTM with CuDNNLSTM. But after model.fit, it replied the following error message: UnknownError: Fail...

After training a PyTorch model on a GPU for several hours, the program fails with the error RuntimeError: cuDNN error: CUDNN_STATUS_INTERNAL_ERROR Training Conditions Neural Network: PyTorch...

Hi I have a question about how to collect the correct result from a BI-LSTM module’s output. Suppose I have a 10-length sequence feeding into a single-layer LSTM module with 100 hidden units: lst...

I am working in RNN. I have following lines of code from some site. If you observe second layer has no "returnSequence" parameter. I am assuming return sequence is mandatory as it should return th...

I am trying to import LSTM in python from keras.layers.recurrent import LSTM However, I get below error message on compilation: ModuleNotFoundError: No module named 'keras.layers.recurrent' Can so...

I have the tabular data. Some of the columns contain the text data. As you can see In the picture. After cleaning the text I converted text into matrixes and object data types into categories. ids_...

(NOTE: Properly fixing the RNG state before each model creating as described in comment in comment practically fixed my problem, as within 3 decimals results are consistent, but they aren't exactly...

I am new to deep learning and currently working on using LSTMs for language modeling. I was looking at the pytorch documentation and was confused by it. If I create a nn.LSTM(input_size, hidden_...

I'm using tensorflow2.4, and new to tensorflow Here's the code model = Sequential() model.add(LSTM(32, input_shape=(X_train.shape[1:]))) model.add(Dropout(0.2)) model.add(Dense(1, activation='linea...

I'm working on a seq2sql project and I successfully build a model but when training I get an error. I'm not using any Keras embedding layer. M=13 #Question Length d=40 #Dimention of the LSTM C=12 ...

I am new to machine learning, so please go easy in case the problem is trivial. I have been given a sequence of observed characters say, ABABBABBB..... (n characters). My goal is to predict the ne...

I am facing an issue when trying to use CuDNNLSTM instead of keras.layers.LSTM. This is the error I am getting: Failed to call ThenRnnForward with model config: [rnn_mode, rnn_input_mode, rnn_dire...

I would like to use a tree-LSTM in keras, similar to what is described in this article: https://arxiv.org/abs/1503.00075. It is essentially similar to a Long Short-Term Memory network, but with a t...