관심있는 Deep Learning 분야를 공부하면서 정리한 포스트입니다.

This page is a notebook for self-study about Deep Learning I have been interested in.

• TF2.x: 07. CNN MNIST
• TF2.x: 06. Introduction to CNN
• TF2.x: 05. Softmax MNIST
• TF2.x: 04. Softmax Classification
• TF2.x: 03. Logistic Classification (Regression)
• TF2.x: 02. Multi variable Linear Regression
• TF2.x: 01. Simple Linear Regression
• Useful Tips test post
• TF1.x: 02. Checkpoint
• TF1.x: 01. Introduction to Graph(연산/계산 설계도)
• Pytorch 07. 다대일 RNN 기본 Modeling
• Pytorch 06-2. MNIST by CNN
• Pytorch 06-1. Convolutional Neural Network 개념
• Pytorch 05. MNIST by Softmax
• Pytorch 04. Softmax Regression
• Pytorch 03. Logistic Regression 구조
• Pytorch 02. Model Coding 기본 구조
• Pytorch 01. Model을 Class로 만드는 방법