VTC Academy | Visual Understanding
VTC Academy VTC Academy
Visual Understanding
level 2 / SPECIALIST
Visual Understanding
5 (6456)

Learning method: On campus

Duration: 16 weeks

Major: Artificial Intelligence

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Benefits, Highlights & Applicable areas of Visual Understanding
Medical imaging diagnosis
Medical imaging diagnosis
Support for image editing in design
Support for image editing in design
Security/unlock using image processing
Security/unlock using image processing
Image recognition and quality improvement in photography
Image recognition and quality improvement in photography
Quality improvement of images in films
Quality improvement of images in films
Image analysis and recognition via camera
Image analysis and recognition via camera
Who can learn?

GROUP 1: People who know about python programming, linear algebra, analytics, optimization * People who have logical thinking and critical thinking *

GROUP 2: Students who have been awarded AI Practitioner certificates by VTC Academy

* Subject to the International-standards-based competency assessment of VTC Academy

Course overview
  • Excellent Deep Learning architecture, models and algorithms for Visual understanding (computer vision operations, multimodal data, reasoning capacities)
  • Various Deep Learning models for Computer vision: Vgg, Inception, u-Net/CheXNet/MrNet, resNet, DenseNet, yoLo MobileNet, shuffleNet, EffNet, etc.
  • Deep Learning techniques: generative Adversarial Networks (gANs), Variational Autoencoder (VAE), meta/transfer/few-shot learning, evolutionary search, Bayesopt, DeeprL, etc.
  • Topics of Visual Understanding: Image, object, scene, Video, Behavior, 3D, setting, Integration, etc.
  • Step-by-step development of Deep Learning models and AI applications
Course outcomes
Visual Understanding
01
Know how to build and develop different models, algorithms and ideas systematically in Deep Learning for Visual Understanding.
02
Have worked with multimodal data including images, videos, audios, and texts.
03
Can apply reasoning tools in Deep Learning networking for Visual Understanding.
04
Can optimize and adjust Machine Learning models based on the purpose of the implementation (Cloud, Web, Mobile, Edge devices).
05
Can implement new Math solutions in real applications; Design solutions using excellent algorithms; Collect, process, label, train, implement, evaluate, update Machine Learning models.
Visual Understanding
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Contact us
For further information, please leave your enquiry here.

  • Ho Chi Minh City: 0818 799 299
  • Hanoi: 0981 114 757