Autoencoders


Synchronous online

Toronto (Starting November)

2 hours

Audience: Technical

Level: Intermediate


Autoencoders are neural network architectures that are capable of unsupervised learning of latent representations of data. They are used for dimensionality reduction, feature detection, text embedding and other machine learning applications. This course reviews autoencoder architectures, their applications, and provides you with hands-on practice.

What you'll learn:

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