Google Reveals "What is being Transferred” in Transfer Learning. Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community.
Through this article, we will explore how we can build ResNet with and without making use of dropout with Transfer Learning. In n Computer vision we often deal with several tasks like Image classification, segmentation, and object detection.
In this article, we will build a classification model for predicting pneumonia and normal patient using Chest X Rays and Transfer Learning. Deep Learning has shown immense results in medical imaging. It is due to the high volume of data that is generated in the medical domain.
How we built an easy-to-use image segmentation tool with transfer learning. Training an image segmentation model on new images can be daunting, especially when you need to label your own data. To make this task easier and faster, we built a user-friendly tool that lets you build this entire process in a single Jupyter notebook.