Computer Vision with TensorFlow

Tap into the potential of computer vision through our Computer Vision with TensorFlow course. This practical course will introduce the participant to the basics and beyond of image processing, object recognition, and image classification using TensorFlow and Keras. The course is premised on its audience having at least a basic knowledge of machine learning and has limited theoretical applications in computer vision, instead inviting the learner to create systems that analyze and make sense of images.

In this course, you will:

- Study the basics of computer vision and the associated image pre-processing and augmentation methods.

- Build and train thin deep learning models for image classification and object detection, such as CNNs.

- Be exposed to the TensorFlow and Keras frameworks for model building and applications deployment.

- Delve into the foundation of other concepts in computer vision such as image segmentation, face detection, and transfer learning.

- Participate in projects such as an image classifier, and an object detection project.

By the end of this course, you will have the knowledge to create advanced computer vision software, which will prepare you for the real life challenges especially in industries such as medical, security, and robotics.