Project: Basic Image Classification with TensorFlow

In this 2–hour long project–based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand–written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras. Notes: – This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions. Rhyme is Coursera’s hands–on project–based learning platform. On Rhyme, learners get instant access to pre–configured cloud desktops containing all the software and data they need. Rhyme helps learners apply the knowledge they learned in other Coursera courses into specific tools and use–cases. So they become fully prepared to solve problems in the real–world!