Hands-On Deep Learning for IoT

Transfer learning for image recognition in IoT

Generally, transfer learning means transferring pre-trained machine learning model representations to another problem. In recent years, this is becoming a popular means of applying DL models to a problem, especially in image processing and recognition, as it enables training a DL model with comparatively little data.

The following diagram shows two models:

• An architecture for a standard DL model (a)
• An architecture for a transfer-learning DL model (b):

As shown in the figure of an architecture for a standard DL model, a fully trained neural net takes input values in an initial layer and then ...