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Creating an AI Portfolio - Airbnb Clone Project

This is a lecture to build an AI portfolio by doing a clone project of airbnb data science team's Amenity Detection project, an excellent TensorFlow utilization case, and organizing the experience on a GitHub blog.

(4.6) 9 reviews

141 learners

  • AISchool
Deep Learning(DL)
Portfolio
GitHub

Reviews from Early Learners

What you will learn!

  • Object Detection project experience using CenterNet, a state-of-the-art Object Detection model

  • Clone project experience, mirroring a project conducted by global IT company Airbnb's Data Science team.

  • Creating My Own AI Portfolio Page Using GitHub Pages

Want to gain experience with AI projects? 👩‍💻
Clone project + GitHub blog creation!

Please check before taking the class!

List of relevant curriculum

Section 11 of "Vehicle License Plate Recognition Project and Deep Learning Image Recognition All-in-One with TensorFlow"
Section 1

  • Introduction to the Object Detection Problem Domain
  • Object Detection Metrics - IoU, mAP
  • Object Detection Datasets – Pascal VOC, MS COCO, KITTI, Open Images
  • CenterNet

Section 12 of "Vehicle License Plate Recognition Project and Deep Learning Image Recognition with TensorFlow"

  • The concept of TFRecord and the need for learning TFRecord
  • Reading and Writing TFRecord Files Using TensorFlow 2.0
  • Custom Dataset Practice 1 - Practice writing and reading a custom dataset as a TFRecord.
  • Custom Dataset Practice 1 - Writing and Reading a Custom Dataset as a TFRecord Solution
  • Introduction to TensorFlow Object Detection API
  • Introduction to Custom Dataset Training Using the TensorFlow Object Detection API
  • Review of the elements required for the Oxford Pet-IIIT dataset training process (pbtxt, config) and the Oxford Pet-IIIT dataset TFRecord conversion code review.
  • Code Review: Training the Oxford Pet-IIIT Dataset Using Faster R-CNN
  • Code Review: Training the Oxford Pet-IIIT Dataset Using Faster R-CNN - Evaluate

Building an AI Portfolio - Airbnb Clone Project

By following the Airbnb Data Science team's projects, you can gain experience in AI projects and create an AI portfolio homepage through a GitHub blog.

  • By cloning the Airbnb Amenity Detection project, you can follow a project using CenterNet, the latest object detection model.
  • If you're preparing an AI portfolio for employment or career change, this project will provide you with experience in AI project implementation.
  • Experience the process of creating a Github portfolio blog and publishing your cloned projects!

Knowledge sharer
Interested in other lectures?

Learning through YOLO implementation
Deep Learning Paper Implementation
with TensorFlow 2.0 (click)

TensorFlow
Object Detection
API Guide Part 1 (Click)

Vehicle license plate recognition project and
Learning with TensorFlow
Deep Learning Image Recognition All-in-One (Click)

Recommended for
these people

Who is this course right for?

  • Want to create an AI portfolio blog?

  • Those who want to get a job or change careers as an AI engineer

  • AI project experience seekers

Need to know before starting?

  • Python experience

  • Experience taking the prerequisite course [Introduction to Deep Learning with TensorFlow 2.0] or [Vehicle License Plate Recognition Project and All-in-One Deep Learning Video Recognition with TensorFlow]

Hello
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9,089

Learners

670

Reviews

351

Answers

4.6

Rating

29

Courses

Curriculum

All

37 lectures ∙ (5hr 50min)

Published: 
Last updated: 

Reviews

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9 reviews

4.6

9 reviews

  • 김한주님의 프로필 이미지
    김한주

    Reviews 6

    Average Rating 5.0

    5

    38% enrolled

    다른데서 찾아볼 수 없었던 실전 강의였습니다. 예제 풀이 느낌이 아니라 회사 프로젝트 같아서 좋은 경험이 되었어요. 깃헙 블로그로 포트폴리오까지 짤 수 있어서, 취업에 도움이 될 것 같아요.

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

  • forever님의 프로필 이미지
    forever

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    GitHub로 포트폴리오 블로그를 만들수 있어서 큰 도움이 되었습니다. 좋은 강의 만들어주셔서 감사합니다~.

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

  • jsbb8811님의 프로필 이미지
    jsbb8811

    Reviews 4

    Average Rating 5.0

    5

    24% enrolled

    순서대로 실습과정을 설명해주셔서 이해가 쉬웠어요. 프로젝트랑 포트폴리오 블로그까지 한번에 만들수 있어서 취업을 준비하는데 많은 도움이 될 것 같아요. 좋은 강의 감사합니다.

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

  • stout4님의 프로필 이미지
    stout4

    Reviews 1

    Average Rating 5.0

    5

    32% enrolled

    • ᄏᄏ님의 프로필 이미지
      ᄏᄏ

      Reviews 24

      Average Rating 5.0

      5

      43% enrolled

      하나씩 배워가는데 설명을 자세하게 해주셔서 어렵지 않게 이해할 수 있습니다 :)

      $77.00

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