Introduction to Convolutions with TensorFlow

About this Course

This is a self-paced lab that takes place in the Google Cloud console. A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you\'ll see how they work, and try processing an image to extract features from it! You also explore pooling, which compresses your image and further emphasizes the features.

Created by: Google Cloud


Related Online Courses

AWS Client VPN provides secure access to AWS resources in the cloud and on-premises networks from any location. This course contains two independent lessons: The first provides a step-by-step guide... more
Learners will gain skills in the areas of:\\n\\nUnderstanding essential leadership responsibilities Constructing a leadership framework Utilizing the 4D Leadership framework Hiring for team culture... more
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow.... more
In this class, we present a broad overview of the field of medical software. You will learn from Yale professors and a series of industry experts who connect the course concepts to their real world... more
Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth\'s surface from space or from airborne vehicles. This course covers the... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL