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Real Fingerprint Classification Model Using Semi-Supervised Generative Adversarial Network (SGAN)

My name is Divine and I am currently working on a real fingerprint detection and classification model using SGAN. However, I am new to the field of machine learning. The concept of my work is to model a real fingerprint classification model using SGAN technique so that the model is able to efficiently detect and classify real fingerprints as well as classify fake fingerprints from novel materials. Hence, the idea is come up with a one class classifier for real fingerprints. I will also like the work to be done on KAGGLE for easy replicating.

In addition, important results such as generators losses, discriminator losses, classification accuracies and how the final one class classifier visually classifies the real and fake fingerprints should be included as the attached image.

Evner: Machine Learning (ML), Algoritme, Python, C++ Programmering, Java

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Om arbejdsgiveren:
( 0 bedømmelser ) Shah Alam, Malaysia

Projekt ID: #29057525

Tildelt til:

anthobio23

grettings, i'm Anthony and i'm data scientific and EXPERT in data science and machine learning. I read your project, I can help you with that. write me so that we can talk about the details and reach an agreement an Flere

$35 USD in 5 dage
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2 freelancere byder i gennemsnit $33 timen for dette job

charusrini

One year of experience in Machine Learning and Deep Learning [login to view URL] Strong Knowledge in Exploratory Data Analysis , Data Wrangling along with good Feature Engineering Techniques.I have a built a Model for M Flere

$30 USD in 10 dage
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