Helper to build a BN -> relu -> conv block. This is an improved scheme proposed in http://arxiv.org/pdf/1603.05027v2.pdf

Builds a custom ResNet like architecture. Args: input_shape: The input shape in the form (nb_channels, nb_rows, nb_cols)

Helper to build a BN -> relu block

Adds a shortcut between input and residual block and merges them with "sum"

Helper to build a conv -> BN -> relu block

Builds a residual block with repeating bottleneck blocks.

Basic 3 X 3 convolution blocks for use on resnets with layers <= 34. Follows improved proposed scheme in http://arxiv.org/pdf/1603.05027v2.pdf

Bottleneck architecture for > 34 layer resnet. Follows improved proposed scheme in http://arxiv.org/pdf/1603.05027v2.pdf Returns: A f