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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.

aischool

Creating an AI Portfolio - Airbnb Clone Project

AISchool

입문

초급

중급이상

Deep Learning(DL)

Portfolio

깃헙

GitHub

Intro to Clone Projects & AI Portfolios - Exploring learning via clone projects and the necessity of AI portfolios.

airbnb Clone Project Intro - A look at the airbnb clone project for class.

Object Detection Basics - Exploring Basic Concepts of Object Detection Problem Space

Deep Learning Object Detection Models - Let's learn their structure.

Easy Setup, Simple Hands-on Environment - Intro to Google Colab

TensorFlow Object Detection API - TensorFlow Object Detection API Usage Guide

Learning Order for the Clone Project - Let's examine the learning order for the Amenity Detection Clone Project.

TFRecord - Prerequisite knowledge for Custom Dataset training, let's practice TFRecord conversion.

Explore Custom Dataset training with TensorFlow Object Detection API using the Oxford IIIT-Pet Dataset example.

airbnb Clone Project - Exploring Components for Amenity Detection Training

Get Started with Amenity Detection Training

Amenity Detection Evaluation - Let's quantitatively/qualitatively analyze the Training results.

Building a GitHub portfolio blog - Let's organize and publicly post our work on a GitHub blog.

Further learning - Develop my own AI portfolio through more projects.