See RNN v1.1

FEATURES:

• Universal layer specifier, _id, that is a layer name, layer index, or list of either or of both
• Enabled full customization of various plot aspects via configs dict; see docstrings & code
• pip install support
• Figure saving support on all visuals
• Added weights_norm for computing & tracking layer weight norm statistics
• Added features_hist_v2 for multi-hist grid visualization
• Added features_hist for grid hist visualization
• rnn_histogram and rnn_heatmap now plot bias w/ kernel & recurrent kernel in one figure
• All plots now return fig and axes objects
• All methods now deepcopy passed lists and dicts when mutating internally to not affect originals

BREAKING:

• Several positional & keyword arguments deprecated in favor of configs
• layer_name & layer_idx deprecated; _id now takes place of both, and can be a list containing both
• label_channels in features_1D deprecated in favor of customizable annotations
• show_features_ -> features_ (0D, 1D, 2D)
• get_layer_outputs -> get_outputs
• get_layer_weights -> get_weights
• get_layer_gradients -> get_gradients
• scale_width -> w
• scale_height -> h

MISC:

• Created _backend.py to move repeated declarations and env vars to
• Improved docstrings
• Improved code readability
• Added tests
• get_full_name added to inspect_gen.py for retrieving full layer name given _id
• _filter_duplicates_by_keys added to utils.py
• _save_rnn_figs added to utils.py
• .flatten() -> .ravel(), since former copies array (thus slower)
• (Bugfix) codecs.open -> open, as former's formatting of README.md in setup.py was overflowing package build metadata