I have trained a VAE and now I am trying to predict new data using this dataset. I have taken the predict code line from this tutorial. However, when I run the
I'd like to train a simple LSTM model for sequence data with 128 time steps with 6 features for 118 multi-classes. The dimensions of the dataset are shown belo
I am trying to build a ANN model using Tensorflow library on Spyder. Afte ı set my training and test data, ı imported the keras library as seen below
I am using Anaconda and Jupyter Notebook. I need a tensorflow_hub to import the ResNet model, however, I get the error No module named Keras. I've installed ker
I am having a use case where I need to predict n number of future values after using the given data. eg: I have data from Jan 1 2021 - Jan 1 2022. I need to pre
I'm trying to make a denoise autoencoder wherein the encoder part is vgg16 and decoder is opposite of vgg16(encoder) network. My dataset consists of 5K images i
I am trying to run a TensorFlow-lite model on my App on a smartphone. First, I trained the model with numerical data using LSTM and build the model layer using
The classifier script I wrote is working fine and recently added weight balancing to the fitting. Since I added the weight estimate function using 'sklearn' lib
Here I have a pytorch tensor object which I need to use for training a neural network. Can pytorch tensors be used for training a keras neural network and if so
My input is a array of 64 integers. model = Sequential() model.add( Input(shape=(68,), name="input")) model.add(Conv1D(64, 2, activation="relu", padding="same",
I'm Trying to making DNN using Wide Deep Nural Network using keras the following code produces the following after trying to implement it, I also making my cust
I am working on a project on Reinforcement Learning - and completely new at this. I installed keras-rl as pip install keras-rl, however it caused an error as ma
I am trying to predict the of number peaks in time series data by using a CNN and keep on getting a data shape error. My data looks as follows: X = list of 520
Hello I have being using tensorflow and keras for a while. I use this packages to build neural networks. As I work on CPU I was used to recive a message like th
My data contains 520 time series, each of length 2297: X_train = numpy.ndarray of shape (338, 2297, 1) X_val = numpy.ndarray of shape (85, 2297, 1) X_test = num
I have been trying to revisit my python code for prediction on neural network and i realized after running the code that model.predict_classes is deprecated sin
When I try to fit my model i get an error. Here is the code: model = Sequential() model.add(LSTM(128, activation='relu', input_shape=(trainX.shape[1], trainX.sh
I have a list of images each with shape=(20, 20, 1), there are 10 images so len(list)=10. How can I convert this into tensor/array with shape=(10,20,20,1)? Than
import keras print(keras.__version__) #2.3.0 from keras.models import Sequential from keras.layers import Input, Dense,TimeDistributed from keras.models import
i am new in using pyspark with elephas and tensorflow i am trying to train a deep learning model inside pyspark using elephas module my code : https://www.kaggl