InvertibleNetworks.jl

Summarizednetwork + docs
-summarized network structure beautifies the summary network workflow
-2 examples to docs will serve as template for many examples to come soon

• Support for chainrules and Zygote
• Fix GPU support
• Make layers/network size independent to follow general conventions and generalizations.

Fixes GPU support:

• Fix dimensionality manipulation views
• Fix loss function input types
• Add GPU supported Haar wavelet squeeze/unsqueeze

Simplifies and fix bugs in Hyperbolic layer
Add documentation

Implementation of Jacobian evaluation (and adjoint thereof) for invertible networks

Main contributions:

• added Jacobian functionalities for most of the layers and networks already implemented, except for layers and networks requiring a "link" function (invertible_layer_slim_additive, invertible_layer_slim_affine, invertible_network_irim) and Flux blocks that requires forward-mode AD;

• Jacobians can be wrapped around an abstract linear algebra framework, see /examples/jacobian/jacobian_linear_algebra.jl;

• composition functionalities to string networks/layers together, see /examples/utils/composition_of_networks.jl
  Jacobians also work together with Composition.

• new layers/networks: layer_resnet (as a Flux block), invertible_network_hint_multiscale (previously only had a conditional version)

• utilities for Parameter or Array{Parameter, 1} direct manipulation, see /examples/utils/parameter_algebra.jl

Support of Jacobians and adjoint of layers and networks.