First of all, it is very helpful to learn the basics of deep learning one by one.

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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 :)


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인프런 10주년! 사랑주간 전체 할인

A Complete Guide to Deep Learning CNN - TensorFlow Keras Version

입문

초급

중급이상

Deep Learning(DL)

합성곱신경망

텐서플로

Tensorflow

케라스

Keras

캐글(Kaggle)

Kaggle

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