Explore a deep learning architecture designed to recognize moods in songs and explain its predictions in this 38-minute video analysis. Break down the research paper "Towards Explainable Music Emotion Recognition: The Route via Mid-Level Features" published at ISMIR 2019 by University of Linz researchers. Delve into the problem of automatic music emotion recognition, the use of mid-level perceptual features, and three proposed architectures for predicting emotion. Examine experimental results, methods for explaining the model's decisions, and potential applications of this technology. Gain insights into VGG networks and join the discussion in The Sound of AI community to further explore this fascinating intersection of artificial intelligence and music emotion recognition.