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A variational autoencoder (VAE) provides a probabilistic manner for describing an observation in latent space. Thus, rather than building an encoder which outputs a single value to describe each latent state attribute, we'll formulate our encoder to describe a probability distribution for each latent attribute.
Control motor speed using a potentiometer. Potentiometer voltage readings are passed through a digital low pass filter to smoothen speed transitions. Speed in RPM is displayed on a seven-segment display.
A sarcasm detector based on state of the art NLP techniques. The implementation is based on the Encoder model and incorporates a few variations. The website uses a backend made using FLASK and deployed using Heroku .The readme contains comprehensive details about the project!