Watch Advanced Computer Vision with TensorFlow
- 2017
- 1 Season
Advanced Computer Vision with TensorFlow is an online course offered by Packt Publishing that teaches users how to build advanced deep learning models using TensorFlow. The course is structured in a way that is suitable for both beginners and experienced users alike.
The course starts by introducing users to the basics of deep learning and computer vision. Users will learn about convolutional neural networks (CNNs), which is a type of neural network that is particularly good at image recognition tasks. They will also learn about transfer learning, which is a technique that allows users to use pre-trained models to speed up the training process.
The course then moves on to more advanced topics, such as object detection and image segmentation. Users will learn how to use TensorFlow to build models that can detect and classify objects in images. They will also learn how to segment images into different regions, which is useful for tasks such as medical imaging and self-driving cars.
Throughout the course, users will be provided with practical examples and exercises to reinforce their learning. They will also be introduced to a number of useful tools and frameworks, such as the TensorFlow Object Detection API.
One of the great features of Advanced Computer Vision with TensorFlow is that it is presented in a very clear and concise manner. The course is divided into small, bite-sized chunks that are easy to follow. Each lesson is accompanied by a video tutorial, as well as a written summary and code examples.
Users will also have access to a number of resources to help them in their learning. This includes a GitHub repository containing all of the code examples used in the course, as well as a forum where users can ask questions and get help from other members of the community.
Overall, I would highly recommend Advanced Computer Vision with TensorFlow to anyone who is interested in deep learning and computer vision. The course is well-structured and provides users with a solid foundation in these topics, while also covering more advanced topics such as object detection and image segmentation. If you are looking to take your skills in this area to the next level, then this course is definitely worth checking out.