Unity Machine Learning Agentの完全征服（アプリケーション）

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.

"Create your own survival game where you manage resources and challenge survival! This is a hands-on lecture that takes you through the process of resource collection and building construction using project-based learning.

In this lecture, you will learn the basic theory of reinforcement learning.

This course will help you build a solid foundation in the basic concepts of reinforcement learning through essential theoretical learning on deep reinforcement learning, and learn the principles of deep reinforcement learning in detail through hands-on practice of implementing actual code using TensorFlow.

Learn the basics of collaboration that you can use in your Unity collaborative projects. We will use Git Bash instead of Github Desktop to work directly with Git. If you don't understand something, please ask!

AI is not a technology that suddenly appeared. To properly see AI's present and future, you must understand 70 years of challenges and failures. 👉 "The moment you understand AI history, you can see both its principles and future together." Start right now!

This lecture covers the contents of the Amazon bestseller <Hands-on Machine Learning 2nd Edition>. Using the representative machine learning library, scikit-learn, you will learn various machine learning algorithms and evaluation methods. Also, using the most famous deep learning libraries, TensorFlow and Keras, you will learn theories and practices from artificial neural networks to reinforcement learning. This lecture is not yet complete. One to two lectures will continue to be added every week.

This is an introductory VR development course that teaches you how to connect VR equipment and develop VR content using Unity. Since the marketability and prospects of VR can already be found in many contents, we have not covered them and have only extracted the core elements needed for actual development. If you want to learn how to develop VR in an easy and fast way that you can use for a long time, come here!

Unity6 × C# × R3 Complete Guide to 2D Strategic Tower Defense Let's develop a full-fledged game together

This course is an FPS game that runs on AR using Unity. You can learn about AR projects from AR settings to build and run.

Learn how to design various shaders and visual effects that can be used in games using Unity 6 Shader Graph. This is a step-by-step lecture from basic to advanced techniques for beginners and experts alike.

Let's implement a deep learning framework directly with Excel! Let's solve supervised learning/unsupervised learning/reinforcement learning with the implemented framework!

Make your own AI autonomous vehicle! This is a course where you can learn about AI and reinforcement learning in the most fun and fastest way. This course was produced by the developer ranked #1 in DeepRacer Korea.