เผยแพร่เมื่อ : พุธ 19 มกราคม 2565 โดย ออมทรัพย์ อินกองงาม จำนวนผู้เข้าชม 1,439 คน
Do you know how easy it can be to apply Deep Learning with just a few lines of MATLAB code?
Yes, you can apply deep learning techniques to your work, from standard architectures for image and signal processing to advanced neural networks for a wide range of tasks. Join our webinar and workshop to learn how automation can help you label your data more efficiently, and how optimization techniques for hyperparameters can be used to maximize the performance of your networks.
Learn from our engineers and guest speakers from MathWorks who will share how companies worldwide are applying MATLAB and deep learning techniques to their projects in various industries.
Training Schedule
Session | Date/Time |
Session #1: Deep Learning Overview |
20 January 2022 | 15:00 - 16:00 (GMT+8) | Via WebEx 20 January 2022 | 14:00 - 15:00 (GMT+7) | Via WebEx |
Session #2: Automated and Iterative Labeling for Images and Signals |
17 February 2022 | Timing to be Advised | Via WebEx 17 February 2022 | Timing to be Advised | Via WebEx |
Session #3: Deep Dive - Designing Experiments with AWS and Azure |
24 February 2022 | 15:00 - 16:00 (GMT+8) | Via WebEx 24 February 2022 | 14:00 - 15:00 (GMT+7) | Via WebEx |
Session #4: Deploying your Deep Learning Models to Production |
10 March 2022 | 15:00 - 16:00 (GMT+8) | Via WebEx 10 March 2022 | 14:00 - 15:00 (GMT+7) | Via WebEx |
Session #5: Deep Learning Hands-On Workshop (For New Customer Only) |
25 March 2022 | 14:00 - 17:00 (GMT+8) | Via WebEx 25 March 2022 | 13:00 - 16:00 (GMT+7) | Via WebEx |
For teachers, staff, staff 's RMUTL who are interested in attending the training Must proceed with registration through the system. to send information for attending the webinar according to the specified date and time
Register >> [Live Webinar 2022] MATLAB Deep Learning Series (techsource-asia.com)