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Deep Learning Is Hitting a Wall

Deep Learning Is Hitting a Wall
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New York , United States , United Kingdom , New York University , San Francisco , New Yorker , Iron Sun , Marvin Minsky , Josh Tenenbaum , Sam Altman , Ernest Davis , Alan Turing , Herb Simon , Allen Newell , Walter Pitts , Jared Kaplan , Terry Sejnowski , Geoffrey Hinton , Ernie Davis , Frank Rosenblatt , Geoff Hinton , Deepmind Alphafold , Emily Bender , Brian Scholl , Romeo Juliet , Swarat Chaudhuri ,

Frontiers | Brain Differences Between Men and Women: Evidence From Deep Learning


2Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
3Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
Do men and women have different brains? Previous neuroimage studies sought to answer this question based on morphological difference between specific brain regions, reporting unfortunately conflicting results. In the present study, we aim to use a deep learning technique to address this challenge based on a large open-access, diffusion MRI database recorded from 1,065 young healthy subjects, including 490 men and 575 women healthy subjects. Different from commonly used 2D Convolutional Neural Network (CNN), we proposed a 3D CNN method with a newly designed structure including three hidden layers in cascade with a linear layer and a terminal Softmax layer. The proposed 3D CNN was applied to the maps of factional anisotropy (FA) in the whole-brain as ....

Hunan Province , San Diego , United States , United Kingdom , South Korea , City Of , Brainnetome Atlas , Atlas Mori , Tensorflow Abadi , Van Essen , International Conference On Learning Representations San Diego , Northwestern University Clinical , China Postdoctoral Science Foundation , Dixon Translational Research Grants Initiative , Northwestern Memorial Foundation , Translational Sciences , Elsevier Academic , International Conference On Machine , Natural Science Foundation Of Hunan Province , International Conference On Machine Learning , Neural Networks , Tract Based Spatial Statistics , Human Connectome Project , Batch Normalization , Adam Gradient Decent , Adam Gradient Descent ,