Auto encoder structure An autoencoder is a feedforward neural network hat learns to predict the input corrupted by noise compressed Data itself in the output Input Output The input-to-hidden part corresponds to an encoder The hidden-to-output part corresponds to a decoder. Input and output are of Erode Docomo the same dimension and encoder decoder SIze https://towardsdatascience.com/deep-autoencoders-using-tensorflow-c68f075fd1a3 Ch10. Auto and variational encoders v. 9r6Auto encoder Structure An autoencoder is a feedforward neural network that learns to predict the input (corrupted by noise) itself in the output. 𝑦 (𝑖) = 𝑥 (𝑖) • The input-to-hidden part corresponds to an encoder • The hidden-to-output part corresponds to a decoder. • Input and output are of the same dimension and size. Ch10. Auto and variational encoders v.9r6 6 https://towardsdatascience.com/deep-autoencoders-using-tensorflow-c68f075fd1a3 Input Output encoder decoder