Transform your web apps with Machine Learning
summary
Demonstrates building an image classifier using TensorFlow Hub models and transfer learning, chopping a 2.2M‑parameter network down to ~6,405 trainable weights and retraining for five flower classes. Uses batch training and gets about 87% accuracy on the limited dataset. Wraps the model in a Gradio web UI that takes an uploaded image and returns a label (demo classifies a rose correctly), showing a complete working pipeline from model to browser.
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chapters (4)
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