Questions tagged [convolutional-neural-network]

A convolutional neural network is a form of neural network with an additional convolutional layer, typically used in image & audio analysis. The convolutional layer is essentially a filtering stage defined by the kernel which is used. For example, a convolutional layer could have a kernel which extracts edges from an image towards the goal of learning which objects are in a scene.

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Is it possible to create a 3d to 2d U-net?

I was curious if it is possible to create a U-net type architecture that takes in a 3d image and outputs a 2d image? Or, alternatively, would some other architecture be better suited for this problem? ...
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44 views

ConvNet - What to improve regarding architecture, procedure and technique?

I have a dataset of 180k images of license plates (so, not necessary to localize the license plate at first) for which I try to recognize the characters on the images (License plate recognition). All ...
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106 views

Plotting scikit-learn confusion matrix returns no values in the last class

I am attempting to create a confusion matrix using Scikit-Learn for a multiclass classification CNN, and it works well except for the fact that it does not provide ...
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49 views

1D convolutional neural network validation improvement

I created 1D CNN in Keras, but I'm having issues with validation loss and accuracy. I have 24k records, 22 features. Is my model overfitting or what is going on so validation loss and accuracy is ...
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105 views

Varying Image sizes in Tensorflow Malaria dataset | Dealing with unclean tensorflow data

I am trying to build a CNN based image recognition system for the Tensorflow malaria dataset. I loaded the dataset (~27k RGB images) using conventional tensorflow_datasets syntax. After some data ...
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71 views

What is the best way of combining audio and visual data to make predictions?

I am trying to predict the probability of a disease by using audio and images, the audio and the images do not come from the same source. I am thinking of combining the outputs (maybe average them) of ...
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1answer
20 views

Unstable results in test mode with fractional max pooling in PyTorch

I make some variants of ResNet, originally found in TorchVision, modify them, train them and so on. What I have found is that even in .eval() mode, even if I load state right before evaluation, I ...
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339 views

Keras CNN model gives no gradients error during training

I’m trying to create a Convolutional Neural Network model, using an 824 image dataset, for predicting an output value. Problem is that the dataset is quite unstructured, as there are plenty of RGB and ...
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71 views

What does “full connection table” mean in Yan LeCuns comment on 1x1 convolutions?

What does "full connection table" mean in Yan LeCuns comment on 1x1 convolutions? In Convolutional Nets, there is no such thing as "fully-connected layers". There are only convolution layers with ...
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1answer
260 views

UNet Model accuracy is stuck at exact 0.5 (neither more or less) (No class imbalance, tried tuning learning rate)

This is using PyTorch I have been trying to implement UNet model on my images, however, my model accuracy is always exact 0.5. Loss does decrease. I have also checked for class imbalance. I have ...
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144 views

Tensorflow Conv3D with variable input size

I have a hypotethical question: Is it possible to train Conv3D with variable input size? Sample dim = Length x Width x Depth ; Depth are fixed per each samples, let's say 500. However Length x Width ...
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100 views

Improve performances of a convolutional neural network

I am doing image classificaition, and to do this I have built the following neural network: ...
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111 views

Combining 2D Detection with Disparity Maps to Learn 3D Object Geometry

Since the disparity map above is a representation of the object's distance from the camera's origin, is it reasonable to assume that a network (perhaps a convolutional LSTM) could be trained to ...
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113 views

Problem with overfitting

I make small CNN from scratch to classify barcodes. I have two classes: one for images with barcodes and second for all what isn't barcodes (items, animals, landscape, furniture, people). I got good ...
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37 views

How to design my own keras layer?

I am implementing the paper Perceptual GAN for small object detection. The design is described by the picture given below. I need to design my own keras layer. I have described my code below: The ...
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2answers
671 views

Keras Conv1D model Input_shape value error

I am not sure why I am receiving this value error. Additionally, I haven't found a tutorial that explicitly talks about the appropriateness of size of filters and kernel. I would appreciate some input ...
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1answer
634 views

Difference between 1x1 Convolution and TimeDistributed(Dense())

Are these lines of code equivalent in Keras? From a few runs, they seem to be, and also intuitively since the channels dimension of my data is 1, my understanding is that a fully connected acts like a ...
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669 views

How to increase accuracy of model from tensorflow model zoo?

Situation: My dataset is 70k images of people wearing clothes. Images are labeled: bbox position and class. There are 10 classes. I did 80:20 split. Categories are balanced with exception of one ...
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1answer
1k views

Incorrect output dimension?

I am trying to start the learning of a cnn network which has 72 input and one output being a vector of length 24 stating the a class for each third input 72/24 = 3. There are 145 classes. this is ...
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1k views

How do I provide input and output for such a network structure in keras

I am trying to create a CNN network for classification purposes, the network with both input and output is illustrated as such: The input the image is separated into sections, each section is given ...
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1answer
22 views

How to build a classification pipeline that will pass to another model?

Not sure if the title explained it, but I am trying to build a pipeline where it's like a decision tree, but also not. Say for example, I had a picture. The model classified the picture, but now I ...
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1answer
514 views

Conv1D to predict winner of two feature sets

I'm trying to predict the winner of a race, when given 2 sets of features. The data looks like this: ...
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2answers
937 views

How is the generator code works in a GAN?

I am going throught GAN for image generation and I am using this article for reference. The author is creating a generator model which does this. and the generator model code is ...
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2answers
23 views

Optimisation of neural networks

Do neural networks get optimized by trial and error, by data scientists, or is there some way of optimizing values through accurate mathematical equations?
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99 views

Issues in plotting Images using Keras

I am trying to visualize Skin Cancer Images using Keras. I have imported the images in my notebook and have created batch datasets using Keras.image_dataset_from_directory. The code is as follows: <...
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1answer
32 views

Fine train a convnet on difficult data only?

I use a convnet to classify two types of objects: class A and B. I created the data set myself and have around 1000 examples per class. Some are really obvious and clear, some others are very ...
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1answer
237 views

Deep learning models for classification, able to classify small image patches?

I am currently working with classifying patterns, and though at good place to start would be using already established models such as VGG16, INCEPTION models and so on.. Problem that my images are ...
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453 views

weight sharing for CNN network [closed]

Consider an example in which one wants process a 1d list of number with a CNN network, with 1d convolution. Are the weight shared across the number of filters, or are they shared across the number ...

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