VTC Academy | Language Understanding
VTC Academy VTC Academy
Language Understanding
Level 2 - AI Specialist
Language Understanding
4.9 (5465)

Learning method: On campus

Duration: 16 weeks

Major: Artificial Intelligence

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Introduction

The Language Understanding Course for AI Specialist provides top Deep Learning architectures, techniques, models, and algorithms for Language Understanding, Language Understanding Environment.

As a result, students are able to build Deep Learning models and AI applications relating to Language Understanding.

Applicable areas of course
Voice recognition
Voice recognition
Automatic translation
Automatic translation
Information search
Information search
Knowledge discovery and data mining
Knowledge discovery and data mining
Handwriting recognition
Handwriting recognition
Document summary
Document summary
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
  • Deep Learning architecture, models and algorithms for Language Understanding (natural language processing operations, multimodal data, reasoning capacities)
  • Deep Learning models for Natural language processing: GLoVe, ELMO, ULMFit, GPT, Transformer, BERT, etc.
  • Deep Learning techniques: Generative Adversarial Networks (gANs), Variational Autoencoder (VAE), meta/transfer/few-shot learning, evolutionary search, BayesOpt, DeepRL, etc.
  • Topics of Language Understanding: Name-Entity recognition (NER), Language modeling, Text classification & subtasks, Text generation, Question answering & related tasks, Text data mining, etc.
  • Step-by-step development of Deep Learning models and AI applications
Course outcomes
Language Understanding
01
Know how to build and develop different models, algorithms and ideas systematically in Deep Learning for Language Understanding.
02
Have worked with multimodal data including images, videos, audios, and texts.
03
Able to apply reasoning tools in Deep Learning networking for Language Understanding.
04
Able to optimize and adjust Machine Learning models based on the purpose of the implementation (Cloud, Web, Mobile, Edge devices).
05
Able to implement new Math solutions in real applications; Design solutions using excellent algorithms; Collect, process, label, train, implement, evaluate, update Machine Learning models.
Language Understanding
Testimonials
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Contact us
For further information, please leave your enquiry here.

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  • Hanoi: 0981 114 757