In this episode of the AI Show, Micheleen Harris dives into when and why one would use deep learning over classical machine learning.

While many tasks can be performed cheaply and well with classical machine learning and packages like scikit-learn, every once in a while, a task is better suited for a neural network architecture implemented with deep learning methods – e.g. large amounts of data or insufficient accuracy with other methods.  Watch to find out more and hear about some Python packages to make life easier.

In this episode of the AI show Erika explains how to create deep learning models with music as the input. She begins by describing the problem of generating music by specifically describing how she generated the appropriate features from a midi file. She then describes the deep learning model she used in order to generate music.

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