How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 1 Codementor

#artificialintelligence 

I've been making some TensorFlow demos for my website, fomoro.com, While it's fresh in my head, I wanted to write up an end-to-end description of what it's like to build a machine learning app, and more specifically, how to make your own reverse image search. For this demo, the work is ⅓ data munging/setup, ⅓ model development and ⅓ app development. At a high-level, I use TensorFlow to create an autoencoder, train it on a bunch of images, use the trained model to find related images, and display them with a Flask app. In this first post, I'm going to go over my environment and project setup and do a little bit of scaffolding.

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