Build a TensorFlow Image Classifier in 5 Min
In this episode we’re going to train our own image classifier to detect Darth Vader images.
The code for this repository is here:
I created a Slack channel for us, sign up here:
The challenge for this episode is to create your own Image Classifier that would be a useful tool for scientists. Just post a clone of this repo that includes your retrained Inception Model (label it output_graph.pb). If it’s too big for GitHub, just upload it to DropBox and post the link in your GitHub README. I’m going to judge all of them and the winner gets a shoutout from me in a future video, as well as a signed copy of my book ‘Decentralized Applications’.
This CodeLab by Google is super useful in learning this stuff:
This Tutorial by Google is also very useful:
This is a good informational video:
Really deep dive video on CNNs:
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edit: Credit to Clarifai for the first conv net diagram in the video
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