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CNN based Image Classifier implementing SE-ResNet for steganalysisi

I need to implement SE-ResNet CNN for classification of given image into stego or Cover class.

should train 30-40000 images and test atleast 10000 images.

Preferable implementation frame work is Pytorch/ Caffe.

for any further clarification feel free to contact me

Skills: Python

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About the Employer:
( 0 reviews ) KHAMMAM, India

Project ID: #17524509

5 freelancers are bidding on average ₹8666 for this job

WIFTCAP

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iamajayjadhav

Hello, Greetings of the day.!! Your project attracted my attention at first glance, because I've really rich experience in Machine Learning & Python Programming. I have worked on several similar projects before! More

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m7madtamer

we are a team of persons sharing a lot of knowledge in artificial intelligence field. we are experts at machine learning, deep learning, artificial intelligence and computer vision, we work on many environments and More

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d3bd33p

I suppose you're referring to those Squeeze and Excitation Networks:) Well I can surely help you implement one probably in a day. Let me know about your work in detail! Best, Debdeep

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dinhfreedom

Hello, there, I am very happy to put my bid on your project. I am an expert of classification algorithm and senior python developer, so I am interested in and confident to do this project. I hope to discuss everythi More

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