We were given an assignment in which we were supposed to implement our own neural network, and two other already developed Neural Networks. I have done that and however, this isn't the requirement ...

I am training a facial expression (angry vs happy) model. Last dense output layer was previously 1 but when i predict an image it's output was always 1 with 64 % accuracy. So i changed it to 2 for ...

I loaded a custom PyTorch model and I want to find out its input shape. Something like this: model.input_shape Is it possible to get this information? Update: print() and summary() don't show thi...

I have created a working CNN model in Keras/Tensorflow, and have successfully used the CIFAR-10 & MNIST datasets to test this model. The functioning code as seen below: import keras from keras....

I'm trying to implement a custom loss function for my CNN model. I found an IPython notebook that has implemented a custom loss function named Dice, just as follows: from keras import backend as K...

I am creating a deep convolutional neural network for pixel-wise classification. I am using adam optimizer, softmax with cross entropy. Github Repository I asked a similar question found here bu...

I'm trying to convert a convolution layer to a fully-connected layer. For example, there is an example of 3×3 input and 2x2 kernel: which is equivalent to a vector-matrix multiplication， Is ...

The code below (taken from here) seems to implement only a simple Dropout, neither the DropPath nor DropConnect. Is that true? def drop_path(x, drop_prob: float = 0., training: bool = False): &quo...

I am trying to use a pre-trained model. Here's where the problem occurs Isn't the model supposed to take in a simple colored image? Why is it expecting a 4-dimensional input? RuntimeError Traceba...

I want to train a custom dataset on using faster_rcnn or mask_rcnn with the Pytorch and Detectron2 .Everything works well but I wanted to know I want to know what are the results I have. [11/29 20:...

I am trying to train a U-Net which looks like this `class UNet(nn.Module): def __init__(self, imsize): super(UNet, self).__init__() self.imsize = imsize self.activation = F.relu self.pool1 =...

My team is training a CNN in Tensorflow for binary classification of damaged/acceptable parts. We created our code by modifying the cifar10 example code. In my prior experience with Neural Networks...

I am new to VGG19 and image processing in python. I am trying to test my trained VGG19 model for predicting an image. I am getting this error:- ValueError: Input 0 is incompatible with layer functi...

I am new to TensorFlow. I am looking for the help on the image recognition where I can train my own image dataset. Is there any example for training the new dataset?

Unet is a pretty popular network architecture, used in various computer vision tasks. Commonly, Unet encoder has downsampling layers that downsample by 2, which means the stride of the conv layer u...

I was reading this from a paper: "Rather than using relatively large receptive fields in the first conv. layers we use very small 3 × 3 receptive fields throughout the whole net, which are convolve...

Code import numpy as np from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential,Model from keras.layers import Dropout, Flatten, Dense,Input from keras import ...

I am working on a super-resolution project. And for now, I am using Transposed Convolution for upsampling the image. But I have heard a lot that sub-pixel convolutions do it better. So what is subp...

I am trying to save my CNN to a file every at every checkpoint. However which extension should I use as my file directory? Also would I need to call model.save(filepath) at the end of the code or w...

I'm trying to create GAN model. This is my discriminator.py import torch.nn as nn class D(nn.Module): feature_maps = 64 kernel_size = 4 stride = 2 padding = 1 bias = False inplace = True de...

I'm currently building a GAN with Tensorflow 2 and Keras and noticed a lot of the existing Neural Networks for the generator and discriminator use Conv2D and Conv2DTranspose in Keras. I'm strugglin...

i am trying to train a very basic CNN on CIFAR10 data set and getting the following error : AttributeError: 'CrossEntropyLoss' object has no attribute 'backward' criterion =nn.CrossEntropyLoss opt...

I'm training a neural network for my project using Keras. Keras has provided a function for early stopping. May I know what parameters should be observed to avoid my neural network from overfitting...

I have a binary mask for each image, with each mask pixel having value of either 0 or 255. Now because my image segmentation needs images of fixed size, I will have to resize the images and the mas...

I have found the VGG16 network pre-trained on the (color) imagenet database (as .npy). Is there a VGG16 network pre-trained on a gray-scale version of the imagenet database available? (The usual ...