Recreating DeepMind's AlphaZero - AI Plays Connect 4 - Part 5: Building the ResNet Neural Network
Вставка
- Опубліковано 27 лип 2024
- In this series we re-create DeepMind's AlphaZero to create an Artificial Intelligence Reinforcement Learning algorithm that plays Connect 4 using Python.
View the rest of the series: ua-cam.com/users/playlist?list.
Full Code: github.com/ThePrincipalCompon...
AI, Deep Learning, Reinforcement Learning, DeepMind, Convolutional Neural Networks, Monte Carlo Tree Search, AlphaGo, AlphaZero, Connect4, ConnectX - Наука та технологія
Great Series and excellent explanation. Please release part-6 soon.
Hey there @ThePrincipalComponent . This was an awesome series. Can you possibly complete it soon? I was taking inspiration from this series to make another project for my school on a similar theme and now I am stuck. It would be awesome if you release the next part soon, I believe it is almost done.
I really like your videos, looking forward to part 6
Great series! Looking forward to the next part
Great series! When will part 6 be released?
Part 6 please
Cant wait to see part 6
I really hope you release part 6
Are you going to use self-play algoritm to train the network with the help of mcts? If ever you have plan in making part 6.
Will you be completing the series?
Hello, Will you be releasing the 6th part anytime soon?
A question, is this the same architecture of the CNN/ResNet as the implementation that DeepMind implemented?
The architecture in the video is a much smaller version of it, shapes are also much different since Go is a larger more complicated game. But this could be easily scaled to their implementation
@@theprincipalcomponent Okey, thank you! I love your content and think it is awesome. 🦾
Hi! Is there a final vid to this series? Sid it learn to play connect4?
Oh no, where's the next part?