Some minor bugs.

[Ouwen]

• weight init
  In the original paper, he initialization is used instead of xavier, this would translate to using: tf.contrib.layers.variance_scaling_initializer
• max pooling
  In the original paper, the transition down should be a 2x2 max pool that is non-overlapping. Checking the original Lasagne code it seems they use a 2x2 max pool with a window of 2x2 and stride of 2x2. Wasn't sure if your current 4x4 window as intentional.

Great work on this btw, very readable!

[Ouwen]

FC-DenseNet-TensorFlow/model.py

Line 162 in e709d63

x = tf.nn.max_pool(x, [1, 4, 4, 1], [1, 2, 2, 1], padding='SAME', name=name+'_maxpool2x2')

vs original code

[HasnainRaz]

Thank you for the feedback.

Yeah sorry about those, I made this because of a project I was working on, so I may have changed the pooling window and weight inits. Good catch, I'll restore them to the originals.