All Questions
574 questions
0
votes
0
answers
33
views
OOM error on GPU while training a RNN in model selection phase, tensor dimensions issue or wrong code?
I have a NLP tensor such as train:(22k, 170, 300) val: (2k, 170, 300), test: (25k, 170,300) where the last dim 300 are FastText embs, also I have one GPU Tesla 32GB. I'm doing model selection on a RNN ...
0
votes
1
answer
88
views
How to import dataset for image sequence classification?
I want to build a model (RNN) on an image sequence to predict a binary variable. I saw a lot of tutorials for multi-input classification, but I didn't find anywhere how to import my data ?
I have a ...
0
votes
1
answer
181
views
Why does my SimpleRNN model in Sequential API show '?' for output shape and zero trainable parameters when using Embedding layers?
I'm building a SimpleRNN model with an Embedding layer in Keras and encountering an issue when using the Sequential API. The model summary shows the output shape as ? and the number of trainable ...
0
votes
1
answer
79
views
Tensorflow saving model works but loading it doesn't
I trained an LSTM model in tensorflow, and it works fine, but when I save the model and then try to load it from disk, it throws me a ValueError when loading. FYI saving and loading works for other ...
0
votes
0
answers
15
views
can we use Keras Sequential model with dense layers for non-temporal data
can we use Keras Sequential model with dense layers for non-temporal data
i want to use deep learning methods with a tabular dataset of depression i found that we can use keras sequential model with ...
0
votes
0
answers
49
views
I'm having issues w/ my RNN; keeps predicting too high numbers
So I'm creating a frame AI network to predict substantial outbreaks throughout the world. The first step of my process is predicting factor data over the next couple of years. So far, I've been ...
0
votes
0
answers
36
views
Nevertheless input different 'data.csv' |Why RNN result's always linear?
It's my forecast code
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.models import Sequential
from ...
0
votes
0
answers
173
views
RNN - LSTM model for multivariate time series
I'm using LSTM for time series forecasting. This is my dataset:
enter image description here
X1,...,5 is the multivariate time serie, y the value to predict and mean, std, var, median, volume are the ...
1
vote
1
answer
113
views
Fitting an RNN model using a tensorflow dataset
I'm still new to using TensorFlow datasets and would like some help with the following. Assume I have a matrix where each row is an observation and I would like to use the window function in order to ...
- 937
0
votes
1
answer
30
views
Tensorflow error InvalidArgumentError: indices[42,244] = -1 is not in [0, 7000)
I am new to neural networks and I am trying to train an LSTM network with the following code:
# Split the data into training and testing set
X_train, X_test, y_train, y_test = train_test_split(X, y, ...
1
vote
1
answer
201
views
Tensorflow simple cumulative sum of product RNN cell
I am trying to build a Tensorflow model that calculates a cumulative sum of products of two of the input features, i.e. predicting on only (1,2) should return 2, and then predicting on (2,2) should ...
0
votes
0
answers
117
views
RNN Keras Error || No OpKernel was registered to support Op 'CudnnRNN' used by {{node CudnnRNN}} with these attrs
I am currently working on a RNN using Keras, but I am stuck with this error:
---------------------------------------------------------------------------
ValueError ...
0
votes
1
answer
104
views
Why is my RNN model outputting the error: 'Input 0 of layer is incompatible with the layer'?
I have issue in my RNN model. The error is:
Input 0 of layer "sequential_3" is incompatible with the layer: expected shape=(None, 90, 3), found shape=(None, 3).
I still don't know how to ...
-1
votes
1
answer
34
views
ValueError: Input 0 is incompatible with layer lstm_35: expected ndim=3, found ndim=2
I am trying a regression problem with signals with a lstm. The shape of X_train is (3867,5000,1) and X_test(1998,5000,1). I have this error "ValueError: Input 0 is incompatible with layer lstm_35:...
1
vote
0
answers
85
views
ValueError: No gradients provided for any variable: (['embedding_1/embeddings:0', 'image_layer_1/kernel:0', 'image_layer_1/bias:0',
This is a program that generates captions for images and then updates the weights of the model based on the cross entropy loss. While updating the weights of the model, I come across this error and ...
- 44