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Transfer Learning (TF HUB)
In deep learning, transfer learning is a technique where a neural network model is trained first on a problem which is like the problem that is being solved. There are one or more layers which are from a trained model that is then used in a new model trained on the problem of interest.
Objective
- Introduction to Transfer Learning
- TF Process
- TF Strategies
- ImageNet
Case Studies
Kaggle Project on TF