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1
Intro
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What we've built
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Deep Learning
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Training your kid (or neural net)
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Convolutional Neural Networks
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How we trained our model
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Creating the model
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Training the model
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Categorizing new images
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Categorizing images
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From categorization to recommendation
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Lessons Learned
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The idea...
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Steps to take...
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Putting it all together...
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How was this made?
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How was this made: data
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Clothing Analyzer - Difficulties
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Clothing Analyzer - First test...
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Clothing analyzer - Version 1
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Clothing analyzer -Solutions (V2)
Description:
Explore the development of an image recognition system for detecting clothing characteristics using deep learning and neural networks in this conference talk. Learn about the journey from prototype to production, including model training, system development, and creating production-worthy applications. Discover how to access a Kinect from the web and interface with the image recognition system. Gain insights into implementing deep learning techniques in customer-facing applications through code examples in Java, Node.js, React, and Python. Follow the process of creating and training models, categorizing images, and moving from categorization to recommendation. Understand the challenges faced and solutions implemented in developing a clothing analyzer, from initial tests to improved versions.

Image Recognition with Deep Learning - From Prototype to Production

Devoxx
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