I am trying to create a CNN model using RandomSearch but its very slow and pops this error tensorflow:Callback method on_train_batch_end is slow compared to the batch time I am running my code in g...

I have trained a GAN to reproduce CIFAR10 like images. Initially I notice all images cross one batch produced by the generator look always the same, like the picture below: After hours of debuggin...

In WaveNet, dilated convolution is used to increase receptive field of the layers above. From the illustration, you can see that layers of dilated convolution with kernel size 2 and dilation rate ...

I'm having a problem feeding a 3D CNN using Keras and Python to classify 3D shapes. I have a folder with some models in JSON format. I read those models into a Numpy Array. The models are 25*25*25 ...

Because of a very large image dataset, datagen.flow_from_directory is extremely slow. Is there a way to copy the "data" folder on my Google drive to the local session in Google Colab? Kin...

I have used two image net trained models i.e. VGG16 and inception using following lines in python using Keras API; where x is the input image and batch size is for simplicity =1. VGGbase_model = I...

I am working on a classification problem using CNN where my input image size is 64X64 and I want to use pretrained model such as VGG16,COCO or any other. But the problem is input image size of pret...

I built a Sequential model with the VGG16 network at the initial base, for example: from keras.applications import VGG16 conv_base = VGG16(weights='imagenet', # do not include the top, fully-c...

I have been training a model in the Pytorch framework using multiple convolutional layers (3x3, stride 1, padding same). The model performs well and I want to use it in Matlab for inference. For th...

As known nVidia DetectNet - CNN (convolutional neural network) for object detection is based on approach from Yolo/DenseBox: https://devblogs.nvidia.com/parallelforall/deep-learning-object-detectio...

I am working on the ArXiV paper Is the deconvolution layer the same as a convolutional layer?. The topic is to upsample, by an upscale factor r, a tensor x from shape (N, C, H, W) to shape (N, C, H...

I am trying to understand an example snippet that makes use of the PyTorch transposed convolution function, with documentation here, where in the docs the author writes: "The padding argument...

I am training a convolutional neural network, but have a relatively small dataset. So I am implementing techniques to augment it. Now this is the first time i am working on a core computer vision p...

I am getting confused with the filter paramater, which is the first parameter in the Conv2D() layer function in keras. As I understand the filters are supposed to do things like edge detection or s...

I'm really confused with the architecture of yolov3. I've read the documentation and paper about it. Some people say that it has 103 convolutional layers, some others say that it has 53 layers. But...

I don't understand why there is the need to flip filters when using convolutional neural networks. According to the lasagne documentation, flip_filters : bool (default: True) Whether t...

TLDR; Made a custom tf.keras.utils.Sequence [1] to load batched data into keras.model.fit(...). Generator had considerably worse performance than when model is called on data loaded from memory, ev...

I have trained the Cifar100 dataset using ResNet18 backbone with the proposed technique for the research propose, and I ends up getting some surprising results. I have gone for the two attempts fir...

It seems that tf.nn.convolution should be able to do 4D convolutions, but I haven't been able to succeed in creating a Keras layer to use this function. I have tried using Keras Lambda layer to wr...

Is there TensorFlow native function that does unpooling for Deconvolutional Networks ? I have written this in normal python, but it is getting complicated when want to translate it to TensorFlow ...

I am newbie to keras. I ran it on a dataset where my objective was to reduce the logloss. For every epoch it is giving me the same loss value. I am confused whether i am on the right track or not....

I want to parallelize over single examples or batch of example (in my situation is that I only have cpus, I have up to 112). I tried it but I get a bug that the losses cannot have the gradient out ...

I was testing some network architectures in Keras for classifying the MNIST dataset. I have implemented one that is similar to the LeNet. I have seen that in the examples that I have found on the ...

Caffe can not only print overall accuracy, but also per-class accuracy. In Keras log, there's only overall accuracy. It's hard for me to calculate the separate class accuracy. Epoch 168/200 0s - l...

Sorry if I messed up the title, I didn't know how to phrase this. Anyways, I have a tensor of a set of values, but I want to make sure that every element in the tensor has a range from 0 - 255, (or...