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1-Deep Learning Human PDF

9 Pages·2021·English
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by ['Ahmed Elayek']| 2021| 9 pages| English

About 1-Deep Learning Human

1) The document proposes using deep learning and human brain signals (EEG data) to develop the first visual object classifier driven by human brain responses. 2) EEG data is recorded from subjects viewing images from 40 ImageNet object classes. Recurrent neural networks are used to classify the EEG data and learn a discriminative manifold of visual categories, achieving 83% accuracy. 3) A convolutional neural network is then trained to project new images onto the learned brain-signal-based manifold, allowing automated visual classification using human-based features. This achieves performance comparable to powerful CNN models.

Detailed Information

Author:['Ahmed Elayek']
Publication Year:2021
Pages:9
Language:English
Format:PDF
Price:FREE
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