내일은 한걸음 더 나아갈거야

본 강의는 Object Detection과 Segmentation에 대한 깊이 있는 이론 설명과 현업에서 바로 사용될 수 있는 수준의 실습 예제를 통해 여러분을 현장에서 필요한 딥러닝 기반의 컴퓨터 비전 전문가로 발돋움시켜 드릴 것입니다.

권 철민

[개정판] 딥러닝 컴퓨터 비전 완벽 가이드

This course will help you become a deep learning-based computer vision expert who is needed in the field by providing a deep theoretical explanation of object detection and segmentation and practical examples that can be used immediately in the field.

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입문

초급

중급이상

Machine Learning(ML)

텐서플로

Tensorflow

파이썬

Python

Deep Learning(DL)

케라스

Keras

[Revised Edition] A Complete Guide to Deep Learning Computer Vision

Course Intro and Lab Setup

Understanding Object Detection

Major Datasets and Introduction to OpenCV for Object Detection and Segmentation

RCNN series Object Detector (RCNN, SPPNet, Fast RCNN, Faster RCNN)

Understanding MMDetection and Applying Faster RCNN Practice - 01

Understanding MMDetection and Practical Application of Faster RCNN - 02

SSD(Single Shot Detector)

SSD Practice

YOLO(You Only Look Once)

Ultralytics Yolo Practice - 01

Ultralytics Yolo Practice - 02

RetinaNet and EfficientDet

AutoML EfficientDet Hands-on - 01

AutoML EfficientDet Lab - 02

Segmentation - Mask RCNN

Mask RCNN - Lab 01

Mask RCNN - Lab 02

Old version Tensorflow Object Detection API (This section will be deleted in one month (2021-08-06) following the revised edition release)