v0.4.0

• Parameterize average pooling size in classification with MLP head
• Let user supply class label names to classifier
• Classification visual in tensorboard: Show bar plot of softmax
• Separation of perception, rule and head model in BasicNCAModel for improved modularity
• Classification: Average pooling between NCA backbone and classification head
• Dependency updates
• Moved training/inference step parameter from Trainer to BasicNCAModel