Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 2)

The video tutorial covers transfer learning without data augmentation using a collab notebook. It begins with setting up the environment and preparing data, followed by configuring a pre-trained model. The tutorial then explains feature extraction from images and transforming data into a tabular format. Finally, it demonstrates model training and evaluation, comparing results with and without data augmentation, highlighting the efficiency and accuracy of the approach.

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