Welcome to this 1.5 hours long hands-on project on Image Super Resolution using Autoencoders in Keras. In this project, you will learn what an autoencoder is and how to use Keras with TensorFlow as its backend to train your own autoencoder. The course focuses on utilizing deep learning powered autoencoders to significantly enhance the quality of images, creating high-resolution images from low-res source images.
This hands-on project runs on Coursera's platform, Rhyme, providing instant access to pre-configured cloud desktops containing all necessary software and data for the project. Learners will engage in a practical, browser-based learning experience, with access to a cloud desktop equipped with Python, Jupyter, and Keras pre-installed. The course is designed for learners in the North America region and is ideal for individuals interested in deep learning, image processing, and neural networks.
Certificate Available ✔
Get Started / More Info
Machine Learning with TensorFlow on Google Cloud em Português Brasileiro is a comprehensive course covering essential machine learning concepts and practical applications...
This course teaches advanced TensorFlow techniques, including custom training loops, graph mode, and distributed training, for more control and efficiency in building...
Learn to create, train, and evaluate a neural network model using Keras with TensorFlow to predict house prices with high accuracy in this 2-hour project-based course....
This course delves into orthogonal vectors, symmetric matrices, and their applications in AI and machine learning, providing essential skills for advanced data science...