Practical Applications of Deep Learning – a Hands-on MATLAB Workshop

Overview

Deep learning achieves human-like accuracy for many tasks considered algorithmically unsolvable with traditional machine learning. It is frequently used to develop applications such as face recognition, automated driving, and image classification. 

  • Workshop will be set up as training room with computers and access to MATLAB
  • Just in case, please bring your own laptop with Wi-Fi capability
    • MATLAB is not required on the laptop for the workshop 

Highlights

In this hands-on workshop, you will write code and use MATLAB to:

  • Learn the fundamentals of deep learning and understand terms like “layers”, “networks”, and “loss”
  • Build a deep network that can classify your own handwritten digits
  • Access and explore various pretrained models
  • Use transfer learning to build a network that classifies different types of food
  • Use LSTM Networks for time series forecasting
  • Train deep learning networks on GPUs in the cloud
  • Learn how to use code generation technology to accelerate inference performance
  • Learn how to improve the accuracy of deep networks

Agenda

Time Title
08:30 Registration
09:00 Introduction
09:15 Workshop
10:45 Break
11:00 Workshop Continued
12:30 Q&A

Product Focus

Registration closed