Images to Training Input

Organizing multiple images into image data such as input tensors and label tensors is a critical step in creating effective image recognition algorithms. Transforming raw images into a structured data format like tensors allows deep learning networks to efficiently learn from the dataset. Tensors are like special containers that can hold image data in an organized way. They also make it easier and faster for the computer to do complicated mathematics, which is essential for tasks like image filtering and recognition.

4 Ways to Learn