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
NeuralJam
Head of AI and GDE ML
Currently working as Head of AI at Neural Jam in Germany, he’s also a Google Developers Expert #GDE for Machine Learning. His expertise also includes Machine Learning with Computer vision and Natural Language Processing.
He’s enthusiastic and self-driven for R&D in AI and currently doing research in latent variable methods.
Currently working as Head of AI at Neural Jam in Germany, he’s also a Google Developers Expert #GDE for Machine Learning. His expertise also includes Machine Learning with Computer vision and Natural Language Processing.
He’s enthusiastic and self-driven for R&D in AI and currently doing research in latent variable methods.
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