Online Free Tutorials Guruji Guide & Materials – Solved Questions Answers
I need a help to design my callback, I have the following architecture: def CNN_exctractor(input_img): l2_loss_lambda = 0.01 # the definintion of l2 regaluraiation l2 = None if …
I am trying to build a custom Keras Layer that returns a one hot vector of a class chosen from a previous softmax layer, i.e, if Sofmax layer returns [0.4 0.1 0.5] I want to make a ramdom choice on …
I am trying to create a transform that shuffles the patches of each image in a batch. I aim to use it in the same manner as the rest of the transformations in torchvision: trans = transforms.Compose([ …
I am working on a multi-output model and need to check the sample-wise loss of each output branch before calculating the final training loss. How can I achieve this? Right now I am using the model.fit(…
import imageio import glob import numpy as np import tensorflow as tf from tensorflow.keras import datasets, layers, models import matplotlib.pyplot as plt trainImages = [] for imagePath in glob.glob(…
I am trying to visualize the convolution layer output to see that how the model is learning from the image. But during visualization, it shows the error as follows. The model trained perfectly, also …
I am working on a problem, where I want to automatically read the number on images as follows: As can be seen, the images are quite challenging! Not only are these not connected lines in all cases, …
I am trying to build a neural network in tensorflow 2.0. There I want to dropout the whole hidden layer with a probability not any single node with a certain probability. Can anyone please tell me how …
I am evaluating deep learning model based on 7 classes. I have declared all the classes and mentioned the names. After, constructing confusion matrix we obtain an error list index out of range. import …
I am trying to use the cosine based similarity in the Siamese Neural Network, Following is my try Inputs and Labels EXAMPLES=10000 FEATURES=30 LEFT=np.random.random((EXAMPLES,FEATURES)) RIGHT=np….