3.3 Model improvements

[hughmancoder]

Multi-label model

• Train and evaluate a multiclass model on Densenet 121 on the hybrid Chinese and orchestral dataset, log and compare accuracy.
• Train and evaluate RNN architecture

Evaluation and Tuning to maximise F1

• Use validation metrics to find instrument classification thresholds