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Questions tagged [matconvnet]

MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.

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Matconvnet output of deep network's marix is uniform valued instead of varying values?

Im trying to achieve a density map from network output of dimension 20x20x1x50. Here 20x20 is the output map and 50 is the batch size. The issue is that the value of output X is equal 0.098 across each output matrix..20x20. There is no gaussian…
h612
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Implementing custom loss function in MatConvNet

I want to implement a custom loss function (from this paper: https://arxiv.org/abs/1706.00909) in MatConvNet. My code uses the DagNN wrapper. I want to modify the class SegmentationLoss() to use a custom loss function, custom_loss() instead of…
jlhw
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Error using vl_nnconv An input is not a numeric array (or GPU support not compiled)

I'm getting this error although I did not compile Matconvnet with GPU support. Does anyone else know this error? May it be a Matconvnet-version issue?
mcExchange
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Matconvnet showing error while atttempting to parapool

I am attempting to run the mnist example in matconvnet using parapooling. I have allocated 2 gpus, but it shows this error while trying to run cnn_mnist_experiments: Error using cnn_train>(spmd) (line 157) Error detected on workers 1 2. Error in…
tdr
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How the deep network accepts images of different scales in object detection?

The network built with MatConvNet accepts images of different scales and evaluates it. For example :- %img is an image of size 730*860*3 %net is loaded DagNN obj scales = [-2 -1 0 0.5 1] for s = 2.^scales img = imresize(raw_img, s, 'bilinear'); …
Ujjal Kumar Das
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Convolutional Neural Networks, Implementation using MatConvNet toolbox. How to deal with Overfitting?

I've currently been working with CNN's and am having a hard time with what I believe is overfitting. Specifically, even though my training data converges to a minimum error, my validation data still refuses to drop in respect to error. My input data…
Charles
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Does scaling the values to [0,1] affect the CNN learning procedure?

I am working on semantic segmentation using CNNs. I have normalized the values of images to range [0,1]. I have trained my network many times, learning curve seems is learning well, however, the output is always black image. My question is does…
S.EB
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Does work Batch normalization when Batchnormalization=false to true in Matconvnet

I am using matconvnet library. In the MNIST example the default parameter batchnormalization=true. But VL_NNBNORM() function has nothing(just comment lines). Is it working though this? or Am i have to change vl_nnbnorm function? I mean that if i…
Ahmet Gökhan Poyraz
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Deep Neural Networks, What is Alexnet output and loss function relationship?

I am trying to understand DNN with Matconvnet DagNN. I've a question based on the following last two layers of a net which uses euclidean loss for regression net.addLayer('fc9', dagnn.Conv('size', [1 1 4096 1], 'hasBias', true, 'stride', [1,1],…
h612
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Worse performance with transfer learning in convolutional neural network

I am doing emotion recognition with convolutional neural networks in MatConvNet. I have one main big dataset(A with 40.000 pics) and two harder, smaller datasets(B,C with 5.000 pics) with the same classes. When I run my network on the dataset A with…
Nicole
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Regression based number estimation?

I'm using AlexNet to train regression based count estimation. My code as as folows ... net.addLayer('fc7', dagnn.Conv('size', [1 1 4096 4096], 'hasBias', true, 'stride', [1, 1], 'pad', [0 0 0 0]), {'bn6'}, {'fc7'}, {'conv7f' …
h612
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residual network cell content reference error on matconvnet

I am using mathconvnet 1.0 beta24. I can install and compile the toolbox correctly. When I follow the quickstart on the website(http://www.vlfeat.org/matconvnet/quick/); I start…
yns
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Is this graphical visualization correct?

I am new in deep learning and trying to draw the fcn32 architecture (Figure 3 in paper) based on my design and shapes. Could you please have a look on schematic of FCN32 architecture and let me know if some parts need to be corrected?Thanks
S.EB
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Is it possible to create a CNN with real output?

The output type of the trainNetwork() must be categorical(). How can I create a CNN with float/real output(s)? I mean the following command gives the following error: >> convnet = trainNetwork(input_datas, [0.0, 0.1, 0.2, 0.3], networkLayers,…
betontalpfa
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How Do I Evaluate My Self Trained MATCONNET CNN network

I am trying to build my own CNN (Alexnet Model) for traffic sign recognition using MATCONVNET. I used the image dataset from the German Traffic Sign Recognition Benchmark (GTSRB) website (http://benchmark.ini.rub.de/?section=gtsrb&subsection=datase)…
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