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@JoelKronander JoelKronander commented Jan 8, 2017

fixes #53
Added a function in layers.py that returns a tf.constant_initalizer that can be passed to DeConv2DLayer as W_int for initalizing the DeConv2DLayer to correspond to channelwise bilinear upsampling. This is used in a number of semantic segmentation approaches such as FCN.

@JoelKronander JoelKronander changed the title Added get_deconv2d_bilinear_initalizer() to layer.py Added deconv2d_bilinear_upsampling_initializer() to layer.py Jan 8, 2017
@zsdonghao zsdonghao merged commit 6f20d6b into tensorlayer:master Jan 9, 2017
@JoelKronander JoelKronander deleted the deconv2d_bilinear_initalizer branch January 15, 2017 00:32
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How to initialize DeConv2dLayer weights to bilinear upsampling?

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