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GPT 논문 구현으로 배우는 딥러닝 논문 구현 with TensorFlow 2.0 Part 1

Develop essential data science & ai skills with expert instruction and practical examples.

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What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

GPT-1(Improving Language Understanding by Generative Pre-Training) 논문을 TensorFlow 2. 0을 이용해서 밑바닥부터 구현해보며 딥러닝 논문 구현 능력을 배울 수 있는 강의입니다. 딥러닝 연구자 필수 소양, 최신 논문 구현 능력.

GPT 구현과 함께 익혀보세요최신 논문 구현, GPT로 함께. 많은 기업들에서 딥러닝 연구자를 채용할때 최신 논문을 직접 구현해본 경험을 우대하고 있습니다. GPT-1(Improving Language Understanding by Generative Pre-Training) 논문을 직접 구현해보면서 최신 논문 구현 경험을 익혀보세요.

GPT-1 논문으로 구조 파악 + TensorFlow 2. 0으로 직접 구현까지. GPT-1 논문을 함께 읽으며 GPT-1 구조를 완벽하게 파악한 뒤,TensorFlow 2.

0을 이용해서 GPT-1을 직접 구현해봅시다. GPT-1 논문(Improving Language Understanding by Generative Pre-Training)을 같이 읽고, GPT-1 모델을 TensorFlow 2. 0을 이용해서 밑바닥부터 구현해봅니다.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AI

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
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