Closed

Find a real world data (like facial expression recognition data) -- 4

Diğer ya da belirsiz Python 1-) Find a real world data (like facial expression recognition data)([login to view URL])

2-) Run your gradient-descent based implementation (Course Code)([login to view URL]) of

Artificial Neural Networks on data

3-) Run built-in Artificial Neural Networks using Keras library (Course Example)([login to view URL])

4-) Write and implement agent-based implementation of Artificial Neural [login to view URL] accomplish this,

look how we implement logistic regression with agent-based optimisation([login to view URL])

Skills: Python, Software Architecture

See more: harvard face database, 3d face database, face recognition test images, orl face recognition, thermal face dataset, emotion recognition dataset, face recognition in the wild, mooney face database, matlab facial expression recognition using pca, facial expression recognition opencv code, opencv facial expression recognition code, code facial expression recognition using opencv, facial expression recognition using matlab pca, facial expression recognition, facial expression recognition code opencv

About the Employer:
( 0 reviews ) İstanbul, Turkey

Project ID: #17011394