I have a task for my project paper and I do not get how to train the model. This model is supposed to take an image and segment it into different classes. The h
I am trying to code a K-fold cross validation with LSTM architecture. But I got an this error (edit): Traceback (most recent call last): File "/Users/me/Deskt
i have a dataset of images and built a strong image recognition model. now i want to add another label to my model. i am asking myself, if i have to label every
I am using Google colab. I want to convert .pt model from my google drive to .h5 model. I follow link https://github.com/gmalivenko/pytorch2keras and https://ww
I want to perform 8 class classification only and hence need to filter any 8 classes out of 10. Please help. Thank you! Code to load cifar 10 is below #Keras li
I want to save a image file to see about difference using convolution layer with dilation rate and without that. Of course I can search images about that, but I
I have a 3 dimensional dataset of audio files where X.shape is (329,20,85). I want to have a simpl bare-bones model running, so please don't nitpick and address
I made a CNN model for training b/w images for training it on TPU on dimension of 100*100. Added the basic callback but after running it, it was giving outputs
I'm trying to reconstruct in Python the Gradient Transformation Network model in the paper titled : Single Image Super-Resolution Based on Deep Learning and Gra
I can get the model to train effectively. However, I am now having a problem with it comes to loading the model and testing it on new data again. I was able t
I've been working a food image classification model. I started off with the TensorFlow tutorial and modified the model (code below). The model
Did anyoe have a convincing solution to make custom_binarycrossentropy work? I tried all possible methods (even making the whole training data size same as the
I am working on a simple neural network in Keras with Tensorflow. There is a significant jump in loss value from the last mini-batch of epoch L-1 to the first m
I am writing masters thesis about deeplearning and have a problem probably about library. Below is the error: AttributeError: module 'tensorflow.compat.v2' has
I have codes in the following, train_datagen = ImageDataGenerator( rescale=1./255, shear_range=0.2, zoom_range=0.2, horizontal
I am making a network using keras library. Lets suppose that I have 2D matrix [ 0 0 1 2 0 1 2 5 1 0 0 1 ] what I want to do is obtaining the following matrix [
Task is to determine which of 3 classes does an image belongs to, or none. I received a ready model. EfficientNet B4 with ImageNet weights had transfer learnin
I am training a convolutional neural network for binary time series classification. The training accuracy on both models is very different. If on the first it g
I wasn't expecting this to happen. The relevant code pieces are: import os import tensorflow as tf os.environ['TF_XLA_FLAGS'] = '--tf_xla_enable_xla_devices' .
This program works on Unix and I'm trying to transition it to windows. It uses multiprocessing and I understand it's an issue with being forced to use spawning