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Questions tagged [bilstm]

51 questions
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Unable to implement CRF over a Bidirectional LSTM with keras_CRF CRFModel

I am trying to build a hierarchical BiLSTM-CRF model for a multi class classification problem. I am using CRFModel from Keras_CRF. Here is the code for the model: from keras_crf import…
Aizayousaf
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BiLSTM-CNN Model structure

I want to design a BiLstm-Alexnet Model. I wrote the below code for defining the model architecture: model= Sequential() model.add(Reshape((450,2,2),input_shape=(900,1,2))) model.add(Conv2D(456, kernel_size=(11,1), strides=(1,1), padding="same",…
Maryam Badiee
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An `initial_state` was passed that is not compatible with `cell.state_size`

I'm attempting to build bidirectional LSTM seq2seq model in Keras, however I am running into an issue when passing the output states of the encoder to the input states of the decoder. It looks like that should be possible based on this pull request.…
Agus Chandra
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BiLSTM-CRF for text classification in PYTORCH

I have been having trouble with the bi-lastm-cfr model. I tried several fixes for different bugs but now i am stuck. from transformers import AutoTokenizer, AutoModel import torch.nn as nn import torch import numpy as np from torchcrf import…
leila
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Emoji features used in the sentiment analysis are not showing on my LIME figures

I'm a student from a business school, and trying to learn how to use advanced data analytics. My model uses Bilstm to conduct a sentiment classification task. The dataset consists of 80000 tweets. The features includes words and emojis. I'm trying…
Ariel
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acc and val_acc same after few epoch

I am working on a binary classification problem with 19 feature. For that, I build a 1DCNN autoencoder for feature selection. after extracting feature when I pass the data to bilstm network and try to train the model the acc and val_acc remains the…
dijsat
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How to improve my accuracy in Bi-LSTM neural network in Python?

I want to make a model to predict the land use of some fields but my accuracy after making my model is about 50%, which is so low. I want to improve the accuracy of my model to my case and as I am new in neural networks I need some help with…
David Cerezo
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different BILSTM results in gpu and cpu's CMD

I've ran a code both with gpu in anaconda's cmd and cpu in normal cmd but i get different results and the difference is not normal. its huge as you can see, this graph is when i run the code with normal cmd Normal CMD and when i run the code with…
Betabore
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Error in keras BILSTM attention model while building

I have removed the embedding layer in BILSTM model model = Sequential() model.add(Bidirectional(LSTM(input_length=max_len, return_sequences=True))) model.add(LSTM(units=32, dropout=0.05, recurrent_dropout=0.35,…
poorna
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Bi-LSTM layer arguments

I'm having trouble trying to understand how to implement the following: Layer: Bi-LSTM 1 Input: (None,50,25) Output: (None,50,25) I know that the first argument is units, since the model has a None value, it can be anything? However, for the last…
uhhh
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In the model adding new Bilstm layer return error "bidirectional_1" is incompatible with the layer and the model is not working expected ndim=3,

i am trying to add new Bilstm layer to model.add(Conv1D(500,9,strides=1,input_shape=(7680,1),activation='tanh')) model.add(Conv1D(300, 3, activation='relu')) model.add(Conv1D(300, 3,…
nooona alnon
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Time Series forecasting with Bidirectional LSTMs

I have implemented a Bidirectional LSTM which predicts a certain profile by using a windowing input in tensorflow. Conceptually it makes sense to me during the training phase. Once the model is trained I use it to predict future and evaluate against…
JamesJapp
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BiLSTM hidden layers, and memory cells

I have a BiLSTM model, as the following: tf.keras.models.Sequential([ tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(A, return_sequences=True), input_shape=x), tf.keras.layers.Dense(B,…
Ahmad Aburoman
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How can I reduce the batch size after a certain epoch or implement a adaptive batch size in deep learning?

I've implemented a BiLSTM model for classifying positive or negative sentiments from texts. Here, my batch size is constant in this code, which is 256 and epoch 60, but I want to reduce the batch size after 10 epochs. For example, after 10 epochs…
Sunjaree
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