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The document outlines a methodology for image classification using TensorFlow/Keras, focusing on building a simple convolutional neural network (CNN) and utilizing data augmentation. It discusses the advantages of pre-trained networks and transfer learning, including fine-tuning techniques. The document highlights the significant improvement in classification accuracy over the years, citing the example of distinguishing between cats and dogs.















