TensorFlow 1: Getting Started

This course shows you how to install and use TensorFlow, a leading machine learning library from Google. You'll see how TensorFlow can create a range of machine learning models, from simple linear regression to complex deep neural networks.

Developing sophisticated machine learning solutions is a difficult task. There are many processing steps that must be performed, and how this processing is performed is a function of not only the code you write, but also the data you use. In this course, TensorFlow 1: Getting Started, you'll see how TensorFlow easily addresses these concerns by learning TensorFlow from the bottom up. First, you'll be introduced to the installation process, building simple and advanced models, and utilizing additional libraries that make development even easier. Along the way, you'll learn how the unique architecture in TensorFlow lets you perform your computing on systems as small as a Raspberry Pi, and as large as a data farm. Finally, you'll explore using TensorFlow with neural networks in general, and specifically with powerful deep neural networks. By the end of this course, you'll have a solid foundation on using TensorFlow, and have the knowledge to apply TensorFlow to create your own machine learning solutions.

• Course Overview 1min
• Introduction 15mins
• Introducing TensorFlow 31mins
• Creating Neural Networks in TensorFlow 32mins
• Debugging and Monitoring 23mins
• Transfer Learning with TensorFlow 22mins
• Extending TensorFlow with Add-ons 26mins
• Summary 4mins