A neural network trained to compress input data into a smaller representation and then reconstruct it.
A neural network trained to compress input data into a smaller representation and then reconstruct it. The compressed middle layer (bottleneck) learns to capture the most important features. Used for dimensionality reduction, denoising, anomaly detection, and as building blocks for generative models.
Variational Autoencoder.
The compressed, internal representation space where a model encodes data.
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.
The research field focused on making sure AI systems do what humans actually want them to do.
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