This course is a tutorial to help the people who want to learn to deploy TensorFlow models using TensorFlow Serving and Docker. This is the course that will assist you in creating a simple web application with Flask. The creation of this application will help you as an interface to get predictions from the served TensorFlow model.
Moreover, this course is a part of n Coursera’s hands-on project platform called Rhyme. This platform is specifically for people to do projects in a hands-on manner in your browser. By enrolling in this course, you will be able to get easy to pre-configured cloud desktops. These cloud desktops are really helpful as they contain all of the software and data you need for the project.
In order to gain the maximum from this course, a person must be familiar with Python and TensorFlow. It is also advisable for the students to have a basic understanding of Flask, and HTML. You can learn TensorFlow without cost by exploring these valuable free resources that cover various aspects of the framework.
Now, let us looks at the feedback for this course. The learners have given these reviews. Looking at these reviews will help us learn more about them. Our platform features the best Python Flask classes available for free, ideal for those looking to enhance their programming skills without financial investment.
So, this was a review for Deploy Models with TensorFlow Serving and Flask. Stay safe and keep learning. Unleash your potential as a TensorFlow developer with our complimentary training resources, available at no cost to you.
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