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__pycache__
__pycache__
 
 
archive
archive
 
 
data_archive
data_archive
 
 
supplemental_materials
supplemental_materials
 
 
test
test
 
 
training
training
 
 
LICENSE
LICENSE
 
 
Net Arch V10-Inversion.ipynb
Net Arch V10-Inversion.ipynb
 
 
Net Arch V9-Test Blocks Final Result-Copy-Error Bars Fix.ipynb
Net Arch V9-Test Blocks Final Result-Copy-Error Bars Fix.ipynb
 
 
Net Arch V9-Test Blocks Final Result.ipynb
Net Arch V9-Test Blocks Final Result.ipynb
 
 
Network Arch Test Reverse Learning.ipynb
Network Arch Test Reverse Learning.ipynb
 
 
Network Arch V1.ipynb
Network Arch V1.ipynb
 
 
Network Arch V3.ipynb
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Network Arch V4 - Deconv.ipynb
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Network Arch V5 - Dropout-Copy1.ipynb
Network Arch V5 - Dropout-Copy1.ipynb
 
 
Network Arch V5 - Dropout.ipynb
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Network Arch V7 - Visible Verts-Saved_6_June.ipynb
Network Arch V7 - Visible Verts-Saved_6_June.ipynb
 
 
Network Arch V7 - Visible Verts.ipynb
Network Arch V7 - Visible Verts.ipynb
 
 
Network Arch V8-Cube_Inversion.ipynb
Network Arch V8-Cube_Inversion.ipynb
 
 
Network Arch V8-NB_Classifier.ipynb
Network Arch V8-NB_Classifier.ipynb
 
 
Network Arch V8.ipynb
Network Arch V8.ipynb
 
 
README.md
README.md
 
 
data.pickle
data.pickle
 
 
model.py
model.py
 
 
notebook.tex
notebook.tex
 
 
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square_network.py
square_network.py
 
 

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3D recontruction using optimization layers in Deep NN

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Deep Convolutional Neural Network based on biological principles derived from visual area V4 to solve 3D reconstruction using constrained minimization of MSDA (Minimization of Std Dev of all pairs of angles in 3D percept)

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deep-neural-networks vision-science 3d-perception

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