Add `tight` opt; fix IndRNN heatmap; more

OverLordGoldDragon / see-rnn

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

MIT License

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Closed OverLordGoldDragon closed 4 years ago

OverLordGoldDragon commented 4 years ago

New features:

show_features_1D and show_features_2D now support tight and borderwidth specifications, useful when the number of subplots is very large.

Bug fixes:

rnn_heatmap now handles IndRNN's recurrent_kernel as a vector, instead of a 2D array