Deep Learning Hands-on Workshop
7 มกราคม 2564 | 10:00 - 15:30
สัมมนาออนไลน์ผ่านโปรแกรม ZOOM

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About the event

วันที่:        7 มกราคม 2564
เวลา:       10:00 -15:30 
สถานที่:   (เปลี่ยนแปลง) สัมมนาออนไลน์ผ่านโปรแกรม                       ZOOM

Agenda

  • 10:00 - 11:00      E-Learning Online with MATLAB
  • 11:00 - 12:00      Introduction to MATLAB
                                 with Deep Learning       
  • 12:00 - 13:00      Lunch Break (1 hr)
  • 13:00 - 14:00      Deep Learning workshop part 1 :
                                 Pretrained Network                 
  • 14:00 - 14:15      Break
  • 14:15 - 15:15      Deep Learning workshop part 2
                                 : Transfer Learning
  • 15:15 - 15:30      Q&A

Outline of this event

Artificial Intelligence techniques like deep learning are introducing automation to the products we build and the way we do business. These techniques can be used to solve complex problems related to images, signals, text, and controls.

 

Deep Learning Overview for Images and Video

Highlights

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

  1. Train deep neural networks on GPUs in the cloud.
  2. Create deep learning models from scratch for image and signal data.
  3. Explore pretrained models and use transfer learning.
  4. Import and export models from Python frameworks such as Keras and PyTorch.
  5. Automatically generate code for embedded targets.

Prerequisite

It's okay to be new to deep learning, but if you're still new to MATLAB, We recommend you to complete a MATLAB On-Ramp beforehand, please access this Link.
  • MATLAB installation Guideline, please access this Link
  • Install MATLAB with selective toolboxes.
    • MATLAB
    • Statistics and Machine Learning Toolbox
    • Deep Learning Toolbox
    • Reinforcement Learning Toolbox
    • Parallel Computing Toolbox
    • Image Processing Toolbox
    • Computer Vision Toolbox
    • Signal Processing Toolbox
    • DSP System Toolbox
    • Audio Toolbox
  •  

 

The Trainer

Supamith
Supamith S.
Application Engineer Team Lead

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