MATLAB and Simulink Training

Coronavirus Disease 2019 (COVID-19) Update

Due to heightened concerns regarding the outbreak of COVID-19, we are adding more instructor-led online training courses as an alternative to classroom courses.

Course Schedule

Prerequisites

Deep Learning with MATLAB is endorsed by NVIDIA's Deep Learning Institute. The Deep Learning Institute offers specialized training also powered by GPUs. Check out their industry-specific content and advanced CUDA programming courses.

Deep Learning with MATLAB

This two-day course provides a comprehensive introduction to practical deep learning using MATLAB®. Attendees will learn how to create, train, and evaluate different kinds of deep neural networks. The instructor-led training uses NVIDIA GPUs to accelerate network training. Topics include:

  • Importing image and sequence data
  • Using convolutional neural networks for image classification, regression, and other image applications
  • Using long short-term memory networks for sequence classification and forecasting
  • Modifying common network architectures to solve custom problems
  • Improving the performance of a network by modifying training options

See detailed course outline



Course Schedule

Results 1 - 4 of 4
Dates Location Language Price Register
On Demand Self-Paced
180 days of full access from the day of purchase
Japanese USD 350
On Demand Self-Paced
180 days of full access from the day of purchase
English USD 350
24 Sep 2020-
25 Sep 2020
Online
9:00 a.m. - 5:00 p.m. Central European Standard Time
English USD 1,500
29 Sep 2020-
30 Sep 2020
Online
9:00 a.m. - 5:00 p.m. Central European Standard Time
German USD 1,500
Results 1 - 4 of 4

The pricing applies for purchase and use in United States, For pricing in other regions Contact Sales. The product price does not include sales, use, excise, value-added, or other taxes. Any applicable taxes, duties, levies, assessments and governmental charges payable in connection with this purchase will be assessed on the order. Refer to Training Policies for more information