Tensor flow and machine learning

Instructor: Griffin Lacey (Nvidia)

In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks. You will:

• Implement common deep-learning workflows such as Image Classification and Object Detection.
• Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
• Deploy your networks to start solving real-world problems.

On completion of this course, you will be able to start solving your own problems with deep learning.

Target audience: general

Duration: 3 hours

Level: beginner

Prerequisites: This is an introductory course, no previous experience is required.

Laptop software: All attendees will need to bring their laptops with wireless access. You will be using Nvidia’s web-based GPU training platform.