A dog breed identification model specializing in precise classification from images, leveraging advanced transfer learning techniques with TensorFlow, Keras, and GPU acceleration
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Updated
Jul 26, 2024 - Jupyter Notebook
A dog breed identification model specializing in precise classification from images, leveraging advanced transfer learning techniques with TensorFlow, Keras, and GPU acceleration
The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.
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Given an image, detects whether there is a human face or a dog in it. In case it is a dog, the algorithm classifies the breed of the dog. Deep Learning Nanodegree project.
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Constructed an algorithm that works on user supplied image. If a dog is detected, it estimates the breed of the dog, Trained using Transfer learning with CNN.
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