Tutorial 9: Deep Autoencoders (Part 1)
11:06
YouTubeUvA Deep Learning course
Tutorial 9: Deep Autoencoders (Part 1)
In this tutorial, we will take a closer look at autoencoders (AE). Autoencoders are trained on encoding input data such as images into a smaller feature vector, and afterward, reconstruct it by a second neural network, called a decoder. The feature vector is called the "bottleneck" of the network, since we aim to compress the input data into a ...
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