How to extract the features by using Deep Learning?

More Satish Kumar Mallappa's questions See All

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Is it useful to Combine of many features to extract features?

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Journal publication time

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Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

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What are some of the research gaps in machine learning and artificial intelligence in africa?

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What is your perception on using visual analysis or quantitative approaches to evaluate data from single-case research designs (n of 1 trials)?

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Anyone plz suggest relevant topic for research in image processing+Deep learning.?

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How to increase a model accuracy ?

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Can you share me how teacher education is managed in your respective national educational system?

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What is the difference between L1 and L2 regularization in machine learning?

L1 and L2 regularization

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How to eliminate Steady state error from Reinforcement learning genetic algorithm code?

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Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

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Priti Maheshwary

in Matlab image processing toolbox, different feature extractors like color space, histogram, gabor, GLCM is given you can use it directly as functions are given in it.

Satish Kumar Mallappa

Thanks for reply Priti, i know those functions but i need the deep learning method to extract features.

Jie Xie

In the following link: http://www.vlfeat.org/index.html. There is a Matlab deep learning toolbox. There is a detailed tutorial. You can extract features by yourself.

Thanks jie

Alexey Solovey

The common way to deliver high-level features maybe using CNN solutions. But if you need the "names" of you high-level features it maybe difficult.

The common NN sequential architecture is Conv->Conv->Pool->Conv->...Flatten->Dense->Dense->Softmax

thanks for the suggestion Alexey Solovey, but " The common NN sequential architecture is Conv->Conv->Pool->Conv->...Flatten->Dense->Dense->Softmax " sorry i didn't got this thing if possible can you pls explain me in detail

To extract high-level features you possibly can use "Convolutional Neural Network" - https://en.wikipedia.org/wiki/Convolutional_neural_network.

Here is a github example for "cats" recognition based on VGG16 network:

https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3

Thanks for your concern Alexey Solovey , sure i consider your suggestion .

Azhar Imran

Satish Kumar Mallappa I think manual extraction of features for deep learning algorithms are not good enough:-

Most deep learning models use just a simple transformation like gray-scale or cropping before feeding into the model. That is considered the elegance/beauty of deep learning that it can learn which features are useful, and which are not given enough data.

Thanks for the answer Azhar Imran, as you said cropping the image before feeding into the model. at this point i got an confusion related cropped image. As i got dataset of word images of different languages. In which some images have two,three,four and some are in five characters in that image. How cropped image gives the best result. in images some are having two and some are having 5 characters. if we cropped of 5 characters word image, then is it gives the meaning.