EPISODE · Jul 31, 2016 · 5 MIN
Build an Autoencoder in 5 Min - Fresh Machine Learning #5
from Siraj Raval
This video is all about autoencoders! I start off explaining what an autoencoder is and how it works. Then I talk about some use cases for autoencoders and the special types of autoencoders we use for each of them. Finally, I programmatically go through an example of a simple autoencoder, followed by a demo. The code for this video is here: https://github.com/llSourcell/autoencoder_demo/tree/master I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Autoencoder live demo in the browser: https://cs.stanford.edu/people/karpathy/convnetjs/demo/autoencoder.html and here are some great links to read up on autoencoders: http://ufldl.stanford.edu/tutorial/unsupervised/Autoencoders/ http://lazyprogrammer.me/a-tutorial-on-autoencoders/ https://blog.keras.io/building-autoencoders-in-keras.html https://www.quora.com/What-are-the-best-resources-for-learning-about-autoencoders-from-scratch I love you guys! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I'm doing this full time now. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Much more to come so please subscribe, like, and comment. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
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Build an Autoencoder in 5 Min - Fresh Machine Learning #5
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