권철민 선생님 강의 벌써 4번째인데, CNN 강의 역시 선생님의 내공이 느껴집니다. 정말 많이 배울 수 있었습니다. 선생님 수고하셨고 감사합니다..!!

엄마곰

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