  Picasso is a free open-source (Eclipse Public License) web application
written in Python for rendering standard visualizations useful for analyzing
convolutional neural networks. Picasso ships with occlusion maps and saliency
maps, two visualizations which help reveal issues that evaluation metrics like
loss and accuracy might hide: for example, learning a proxy classification
task. Picasso works with the Tensorflow deep learning framework, and Keras
(when the model can be loaded into the Tensorflow backend). Picasso can be used
with minimal configuration by deep learning researchers and engineers alike
across various neural network architectures. Adding new visualizations is
simple: the user can specify their visualization code and HTML template
separately from the application code.
