The compressed, internal representation space where a model encodes data.
The compressed, internal representation space where a model encodes data. Points that are close together in latent space represent similar concepts. Navigating latent space is how generative models create new content — interpolating between two faces in latent space produces a smooth morph.
A dense numerical representation of data (words, images, etc.
A neural network trained to compress input data into a smaller representation and then reconstruct it.
Variational Autoencoder.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
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