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