I’m trying to train the model using prelu activation function, but I get the following error ————————————————————————— ValueError …
I’m trying to train the model using prelu activation function, but I get the following error ————————————————————————— ValueError …
I have sample data in the form: Data[n][31][31][5][2] with: “[n]” being the sample “[31][31]” being the array of data points “[5]” being the number of bits within that …
I want to train a 1D CNN on time series. I get the following error message 1D target tensor expected, multi-target not supported Here is the code with simulated data corresponding to the structures of …
I am relatively new to the deep learning landscape, so please don’t be as mean as Reddit! It seems like a general question so I won’t be giving my code here as it doesn’t seem necessary (if it is, …
I created a CIFAR10 dataset learning model using a CNN model. Why is there an error? How should I fix it? I did it in Google colab environment. import tensorflow as tf import keras from keras.models …
I have implemented a 3D-convolution neural network. The shape of my input is (500,10,4,1). I only want to convolve in first dimension such that it is ‘fully connected’ in second and third dimension in …
I am training a convolutional neural network in pytorch and want to save trained images. I append each trained image in a data loader loop to save all the trained images into numpy file (train_pred in …
I’m fairly new to Keras, please excuse me if I made a fundamental error. So, my model has 3 Convolutional (2D) layers and 4 Dense Layers, interspersed with Dropout Layers. I am trying to train a …
I have built a CIFAR-10 image classification model with Convolution Neural Net or CNNs. The model fully completed and has got around 59% accuracy, but my problem is that how to get the predicted …
I’m looking for a training map with something like this: Grayscale Image -> Coloured Image But the dataset can’t be loaded all to the ram as X and Y because of obvious reasons. I looked up the …