제 경우에는 한번에 이해하기는 어렵지만, 여러번 보고나면 강의의 디테일함을 느낄수 있습니다.!  완강하고 컴퓨터 비전 완벽가이드도 수강할 예정입니다!

둥가둥가찡

딥러닝·CNN 핵심 이론부터 다양한 CNN 모델 구현 방법, 실전 문제를 통한 실무 딥러닝 개발 노하우까지,
딥러닝 CNN 기술 전문가로 거듭나고 싶다면 이 강의와 함께하세요 :)

권 철민

딥러닝 CNN 완벽 가이드 - TFKeras 버전

From core theories of Deep Learning and CNN to implementation methods of various CNN models, and practical Deep Learning development know-how through real-world problems,
If you want to become a Deep Learning CNN technology expert, join us in this lecture :)


dooleyz3525

입문

초급

중급이상

Deep Learning(DL)

합성곱신경망

텐서플로

Tensorflow

케라스

Keras

캐글(Kaggle)

Kaggle

A Complete Guide to Deep Learning CNN - TensorFlow Keras Version

Course Introduction and Setup

Deep Learning Basics - Overview and Gradient Descent

Understanding Deep Learning - Error Backpropagation, Activation Function, Loss Function, Optimizer

Keras Framework

Understanding CNN

Implementing CNN Models and Applying Basic Performance Improvement Techniques

Understanding Data Augmentation - Using Keras ImageDataGenerator

Using Pre-trained CNN Models and Understanding the Keras Generator Mechanism

Augmentation using Albumentation and Keras Sequence

Dissecting Advanced CNN Models - AlexNet, VGGNet, GoogLeNet

Breaking Down Advanced CNN Models - ResNet Details and EfficientNet Overview

Fine-tuning of Pre-trained Models and Application of Various Learning Rate Schedulers

Comprehensive Practice 1 - 120 Dog Breed ID Model Optimization

Comprehensive Practice 2 - Kaggle Plant Pathology (Plant leaf disease diagnosis) Competition