Transfer Learning and Fine-Tuning with TensorFlow
Application To Pneumonia Classification from X_ray Images
Transfer learning involves taking layers/learned features from a model trained on a larger dataset and using those features to initialize training on another similar task. Training deep learning models especially for computer vision requires massive data to perform well. Transfer learning allows models to be trained on smaller dataset by...
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