This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
The course is taught by Laurence Moroney and covers topics such as building a basic neural network, training a neural network for computer vision, and using convolutions to improve your neural network.
Features
- Build a basic neural network in TensorFlow
- Train a neural network for a computer vision application
- Understand how to use convolutions to improve your neural network
Use Cases
- Software developers who want to build scalable AI-powered algorithms
- Individuals interested in learning TensorFlow for artificial intelligence, machine learning, and deep learning
Suited For
- Software developers
- Machine learning enthusiasts
- Students
- Professionals
FAQ
Access to lectures and assignments is provided at the start of the course.
By subscribing to this Certificate, you will get access to all course materials, including lectures, assignments, and quizzes, as well as a shareable certificate upon completion.
Coursera offers a 7-day refund policy. If you're unhappy with the course, you can request a refund within 7 days of your purchase.