참고자료 정리

벚꽃이 지면 모내기 준비를 슬슬 해야 합니다^^;

자주 참고하는 사이트 정리를 하고 있는데 정리는 역시 어렵네요^^;

# http://myenigma.hatenablog.com/

# PythonRobotics

# 라그랑지 방법을 이용한 동역학 모델 구축하기

# Autopilot-Tensorflow

# DLMatFramework

# Apollo

# https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/

# 김성훈 교수님-모두를 위한 머신러닝/딥러닝 강의

# 논문으로 시작하는 딥러닝

# http://colah.github.io/posts/2015-08-Understanding-LSTMs/

# Hvass-Labs/TensorFlow-Tutorials

# Autowareの紹介と課題（2/2）

# CS231n: Convolutional Neural Networks for Visual Recognition

# Computer-Vision-Basics-with-Python-Keras-and-OpenCV

# 점프 투 파이썬

# Unofficial Windows Binaries for Python Extension Packages

# A PyTorch Implementation of Single Shot MultiBox Detector

# Explorations of Using Python to play Grand Theft Auto 5.

# AirSim: Autonomous Driving Cookbook

# BRILLIANTSERVICE TECHNICAL BLOG

# Introduction to Deep Learning with TensorFlow

# The Autonomous Driving Cookbook (Preview)

# C# Network library. Asynchronous. TCP. GameServer.

# GMap.NET - Great Maps for Windows Forms & Presentation

# Simple Reinforcement learning tutorials

# hminle/car-behavioral-cloning-with-pytorch

# Windows and Linux version of Darknet Yolo v2 & v3 Neural Networks for object detection

# End-to-End Learning from Tesla Autopilot Driving Data

# OpenCV3.4とPython3.6をAnacondaでWndows10へインストール