PerceptiLabs Live coding: Using Transfer Learning to Build a Classification Model

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Robert Lundberg, CTO and Co-founder of PerceptiLabs, builds a classification model using Transfer Learning in PerceptiLabs! He showcases different models that can be used, how they can be implemented and how it will look like in the upcoming PerceptiLabs release.

Dataset used in the video ►

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Amazing! This changes so many things about deep learning that I can't wait to see it.
While working on transfer learning though I recommend implementing user to access different layers' activation on the pretrained network. This is used on applications like neural style transfer which is quite popular and I am guessing there will be a lot of people want to use that.
Thank you for this great videos. Keep up the good work!

onurkaantopcu
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Visualization helps us to learn faster such a nice video sir thank you for explaining us
could you please make a tutorial on real-time face recognition?

bhanumalyala
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Very good video, like all the others in the Perceptilabs series!! Quick question - where does the shuffled flowers dataset come from?

viorelteodorescu
welcome to shbcf.ru