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How to improve the training accuracy in example of Train Convolutional Neural Network for Regression?
You could try adding dropout layer, regularization, strengthening your database ... It's fine with your regularization code, bu...
oltre 4 anni fa | 0
HOW TO INCREASE TESTING ACCURACY IN CNN?
Hello, my dear. I think you could insert two things: layer dropout and data augmentation. It's fine with your regularization...
oltre 4 anni fa | 0
How to classify digital images that belong to one or more classes using deep learning (convolutional neural networks)? The classes of each image are described in a CSV file.
This is data_meta CSV Image ,Class A, Class B, Class C, Class D 00000001_000.png,1,1,0,0 00000001_001.png,1,1,0,1 00000001...
quasi 5 anni fa | 0
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How to classify digital images that belong to one or more classes using deep learning (convolutional neural networks)? The classes of each image are described in a CSV file.
I have an image dataset. Each image can belong to one or more classes. That is, in the same image there are one or more classe...
quasi 5 anni fa | 1 risposta | 0
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How to segment a thin smoke/fog/spray (specter of the smoke/fog/spray is confused with the background.)
Using convolutive neural networks such as I can segment a fine smoke / fog / spray, being so thin that the smoke / fog / spray s...
oltre 5 anni fa | 0 risposte | 0
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How to create the Multiscale Features module of a Convolutional Neural Network (MF-CNN)?
Multiscale Features-Convolutional Neural Network (MF-CNN),Multiscale Features-Convolutional Neural Network (MF-CNN),Multiscale F...
oltre 5 anni fa | 0 risposte | 0
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risposteHow can I merge (concatenate) feature maps from two different CNN layers in my architecture?
Has anyone ever gotten it on matlab Multiscale Features-Convolutional Neural Network? Similar to work: https://ieeexplore.ieee....
oltre 5 anni fa | 0
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Analyze Spectrum
Through image = imread (image.tiff), then Y = fftshift applied (fft2 (image)). Viewed the spectrum through imshow (log (abs (A ...
oltre 13 anni fa | 0 risposte | 0
