Cool! I notice a recent commit removes biases from convolutions. I've never seen that before. Any idea why?
A Keras implementation of DenseNet: https://github.com/tdeboissiere/DeepLearningImplementations/tree/master/DenseNet … - an extension of ResNet where every block is connected to all previous blocks.pic.twitter.com/OYl6tKjvKd
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batch norm's beta 'shift' parameter replaces the bias.
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it uses concat merges therefore not modelling the residuals as in resnets though.
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1D and built in (same for residual blocks) anytime soon? :)
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