MATLAB and Simulink Training

Course Schedule

Prerequisites

This course is also offered in an online, self-paced format.

Self-paced courses provide active engagement with MATLAB through in-browser, hands-on exercises that you can complete anytime, anywhere, at your own pace.

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. 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 - 9 of 9
Dates Location Language Price Register
On Demand Self-Paced
180 days of full access from the day of purchase
English USD 350
On Demand Self-Paced
180 days of full access from the day of purchase
Japanese USD 350
16 dec 2019-
17 dec 2019
Korea (Republic Of), Gangnam, Seoul Korean KRW 900.000
13 jan 2020-
14 jan 2020
Korea (Republic Of), Gangnam, Seoul Korean KRW 900.000
26 mrt 2020-
27 mrt 2020
Korea (Republic Of), Gangnam, Seoul Korean KRW 900.000
11 jun 2020-
12 jun 2020
Korea (Republic Of), Gangnam, Seoul Korean KRW 900.000
03 sep 2020-
04 sep 2020
Korea (Republic Of), Gangnam, Seoul Korean KRW 900.000
29 okt 2020-
30 okt 2020
Korea (Republic Of), Jongno, Seoul Korean KRW 900.000
16 dec 2020-
17 dec 2020
Korea (Republic Of), Gangnam, Seoul Korean KRW 900.000
Results 1 - 9 of 9

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