Autoencoder Explained episode artwork

EPISODE · Jan 27, 2018 · 8 MIN

Autoencoder Explained

from Siraj Raval

How does an autoencoder work? Autoencoders are a type of neural network that reconstructs the input data its given. But we don't care about the output, we care about the hidden representation its learned. Its a lower dimensional compression of the input that preserves its features. We can use this learned representation for tasks like image colorization, dialogue generation, and anomaly detection. Code for this video (with Coding Challenge): https://github.com/llSourcell/autoencoder_explained Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: http://ufldl.stanford.edu/tutorial/unsupervised/Autoencoders/ http://ai.stanford.edu/~quocle/tutorial2.pdf https://lazyprogrammer.me/a-tutorial-on-autoencoders/ https://blog.keras.io/building-autoencoders-in-keras.html https://jaan.io/what-is-variational-autoencoder-vae-tutorial/ https://hackernoon.com/autoencoders-deep-learning-bits-1-11731e200694 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693

Episode metadata supplied by the publisher feed · Published Jan 27, 2018

How does an autoencoder work? Autoencoders are a type of neural network that reconstructs the input data its given. But we don't care about the output, we care about the hidden representation its learned. Its a lower dimensional compression of the input that preserves its features. We can use this learned representation for tasks like image colorization, dialogue generation, and anomaly detection. Code for this video (with Coding Challenge): https://github.com/llSourcell/autoencoder_explained Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: http://ufldl.stanford.edu/tutorial/unsupervised/Autoencoders/ http://ai.stanford.edu/~quocle/tutorial2.pdf https://lazyprogrammer.me/a-tutorial-on-autoencoders/ https://blog.keras.io/building-autoencoders-in-keras.html https://jaan.io/what-is-variational-autoencoder-vae-tutorial/ https://hackernoon.com/autoencoders-deep-learning-bits-1-11731e200694 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693

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Autoencoder Explained

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How does an autoencoder work? Autoencoders are a type of neural network that reconstructs the input data its given. But we don't care about the output, we care about the hidden representation its learned. Its a lower dimensional compression of the...

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