TensorFlow.js Image Classification Made Easy
TensorFlow.js Image Classification Made Easy
In this video you're going to discover an easy way how to train a convolutional neural network for image classification and use the created TensorFlow.js image classifier afterwards to score x-ray images locally in your web browser.
TensorFlow.JS is a great machine learning javascript-based framework to run your machine learning models locally in the web browser as well as on your server using node.js.
But defining your model structure and training it, is way more complex than just using a trained model.
Azure Custom Vision - one of the various Cognitive Services - offers you an easy way to avoid this hassle.
If you wan't to have a look at the final code, please check out my GitHub repository:
https://github.com/SaschaDittmann/tfj...
The dataset I used (Pulmonary Chest X-Ray Abnormalities), can be downloaded here:
https://www.kaggle.com/kmader/pulmona...
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🚀 Tools and services I used in this video:
TensorFlow.JS
https://www.tensorflow.org/js
Azure Custom Vision
https://www.customvision.ai/
Visual Studio Code
https://code.visualstudio.com/
✅ Recommended playlists:
TensorFlow.JS
• TensorFlow.JS
Data Science
• Data Science
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GitHub: https://github.com/SaschaDittmann
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#TensorFlowJS #CustomVision #ImageClassification
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