Memorizing is not learning! — 6 tricks to prevent overfitting in machine learning.

Overfitting may be the most frustrating issue of Machine Learning. In this article, we’re going to see what it is, how to spot it, and most importantly how to prevent it from happening.


Autoencoders (AE) are a family of neural networks for which the input is the same as the output*. They work by compressing the input into a latent-spacerepresentation, and then reconstructing the output from this representation.

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