raghakot/keras-resnet
Residual networks implementation using Keras-1.0 functional API
This project helps developers integrate powerful residual networks, a type of neural network, into their image recognition applications. It takes raw image data as input and outputs classified images or identified objects within images. Machine learning engineers and researchers who build and deploy computer vision models would use this.
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Use this if you are a machine learning engineer building an image recognition system and need to incorporate a proven, high-performance ResNet architecture using Keras 1.0.
Not ideal if you are a business user looking for a ready-to-use image classification tool or a developer working with a different deep learning framework or Keras version.
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Jan 12, 2021
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