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深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

Home Page: https://github.com/scutan90/DeepLearning-500-questions

License: GNU General Public License v3.0

JavaScript 98.13% HTML 1.87%

deeplearning-500-questions's Introduction

👋 Introduction

I am a software research engineer who takes pleasure in delving into the capability of Computer Vision and Artificial Intelligence to address everyday challenges. My goal is to contribute towards creating a better world, particularly in the areas of transportation, education, and healthcare, for the well-being of my loved ones. Throughout this lifelong and challenging journey, I eagerly anticipate collaborating with and learning from the talented individuals who surround me.

🔧 Skills & expertise

  • Programming languages: C, C++, Python, C#, MATLAB, Java, Javascript.
  • Fundamentals: Data Structures & Algorithms, Computer Vision, Deep Learning, Machine Learning.
  • Frameworks/Libraries: OpenCV, Tensorflow, Pytorch, Darknet, FFMPEG, DeepStream, ROS, WPF, Qt.
  • Software version control: Git, SVN.
  • Databases: Microsoft SQL Server, MySQL, SQLite, Postgres.
  • Hardware platform: Jetson Nano, Jetson Xavier NX.
  • Languages: Vietnamese (Native), English (Professional), Korean (Basic).
  • Others: Microsoft Office, LaTEX, JSON, XML, Batch.

💼 Professional experience

  • AI Researcher - DeltaX (Republic of Korea) | 06/2022 - present
    • Coordinating, developing, and maintaining Smart In-cabin Monitoring solutions for the Advanced Driver-Assistance System.
    • Collaborating with the team to propose and design solutions for 2D/3D perception problems using cameras (pinhole/fisheye, RGB/IR) with LIDAR/RGB-D supervision.
    • Designing, implementing, and maintaining utility software for camera calibration, data collection, annotation, and analysis.
  • Research Engineer - Smart Deep (Republic of Korea) | 05/2021 - 05/2022
    • Participated in Deep Neural Network training pipeline: data labeling, cleaning, and training.
    • Developed tools for preprocessing datasets and evaluating inference model consistency.
    • Developed new features and improved client programs’ performance and dynamic-link libraries (DLL).
    • Developed a video processing system for interesting object detection.
    • Researched and proposed solutions for company projects.
  • Research Intern - Ubay Solution (Republic of Korea) | 12/2020 - 04/2021
    • Researched to find solutions for Optical Character Recognition (OCR) problems in detecting and recognizing license plate numbers and container codes.
    • Evaluated the performance and consistency of several deep learning frameworks on our custom dataset.
    • Deployed inference model on NVIDIA Jetson Nano board
  • Research Assistant - ANDA Lab (Republic of Korea) | 08/2018 - 08/2020
    • Researched to find and solve problems in the vehicle localization process based on detecting vehicle taillights using camera images.
    • Read and wrote scientific papers related to the project.
  • Trainee - Global Cybersoft JSC (Vietnam) | 03/2017 - 08/2017
    • Learned the software development process in practice.
    • Supported team to design and develop plugins as required by customers.
    • Attended the peer-review process that uses appropriate tools to evaluate code quality.

🎓 Education

  • Master of Engineering in Information Communication - Soongsil University (Republic of Korea) | 08/2018 - 08/2020
    • GPA: 4.01/4.05
    • Thesis: LED Taillight Matching in Nighttime Vehicle Positioning
    • Supervisor: Professor Myungsik Yoo
  • Bachelor of Engineering in Software Engineering - University of Information Technology, Vietnam National University in Ho Chi Minh City (Vietnam) | 08/2013 - 06/2018
    • GPA: 8.6/10
    • Thesis: Coronary Arteries Segmentation from Coronary Angiogram
    • Supervisor: M.Sc. Thi-Vuong Pham

📰 Publications

Thank you for visiting!

deeplearning-500-questions's People

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