Full Stack Machine Learning ( Part 3) Building the Classification Model
This video series walks through a full stack machine learning workflow. The project is to build a web application that can take a picture of a wristwatch and predict the brand of the wristwatch as well as the expected price if you were to sell it online. In order to do this I m going to train two separate neural networks on a dataset scraped from the website and then deploy the models on a production web server. I ll walk through all the steps needed to do this.
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