Tag: neural-network
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Unleashing the Power of Autoencoders for Data Compression and Reconstruction
Autoencoders are artificial neural networks that are used to learn efficient data representations in an unsupervised manner. They use a lower-dimensional code to compress the input data and then use this code to reconstruct the original input. An input layer, a hidden layer, & an output layer make up an autoencoder’s structure. Key Takeaways Raw…