A Gentle Introduction to Transfer Learning for Deep Learning - Machine Learning Mastery

Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. It is a popular approach in deep learning where pre-trained models are used as the starting point on computer vision and natural language processing tasks given the vast compute and time resources required to develop neural network models on these problems and from the huge jumps in skill that they provide on related problems. In this post, you will discover how you can use transfer learning to speed up training and improve the performance of your deep learning model. A Gentle Introduction to Transfer Learning with Deep Learning Photo by Mike's Birds, some rights reserved. Transfer learning is a machine learning technique where a model trained on one task is re-purposed on a second related task.