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Conscious Artificial Intelligence - Project Update
schuler:
DrDub from GitHub coded a simple web server for a neural network that receives an image and classifies it. I did plenty of updates on the top of his code. The code can be found at:
https://github.com/joaopauloschuler/neural-api/tree/master/examples/ResNet/server
schuler:
:) Hello :)
Just finished updating the autoencoder example: https://github.com/joaopauloschuler/neural-api/tree/master/examples/VisualAutoencoder .
This example uses the freshly tested (but coded long ago) TNNetUpsample layer for increasing resolution in the decoder side. TNNetUpsample converts channels (depth) into spatial data. For example, a 128x128x256 activation map will be converted to 256x256x64. This layer type does a similar job to Tensorflow's tf.nn.depth_to_space.
:) Wish everyone happy pascal coding :)
Dzandaa:
Your sources are available on 2 platforms
Which are the most recent?
Thank you.
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