Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
By External Provider
About this course
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
What you will learn
- Learn best practices for using TensorFlow, a popular open-source machine learning framework
- 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