Deep Learning - Convolutional Neural Networks with TensorFlow - Some Pre-Trained Models (VGG, ResNet, Inception, MobileN

The video tutorial covers various pre-trained models used in transfer learning, including VGG, Resnet, Inception, and Mobile Net. It explains the architecture and variations of each model, highlighting their unique features and use cases. The tutorial also emphasizes the importance of data preprocessing and provides guidance on using Tensorflow and Keras functions to handle input data formats.

How does the Inception network differ from Resnet in its architecture?

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Discuss the trade-offs involved in using MobileNet for transfer learning.

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What are the preprocessing requirements for using pre-trained CNNs like VGG, Resnet, and Inception?

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