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When we talk about Neural Networks or Machine Learning in general. We talk about mapping some input to some output by some learnable function.
Autoencoders is a class of neural networks where you map the input to an output that is exactly the input itself.
So what exactly is the point of Autoencoders?
Let’s try to find that out in this blog. Along with how it’s used and what are some of its applications and code it all in TensorFlow 2.0