It’s been a minute since I last used Obsidian. This one isn’t even the synced vault, barely has half my stuff. I’ve got tons of notes on my phone that haven’t synced yet.
@selfmadecoder
@selfmadecoder
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Forwarded from Natyiu
Unshaken Faith
Daniel 6:19–22 : At the first light of dawn, the king got up and hurried to the lions’ den. When he came near the den, he called Daniel in an anguished voice, ‘Daniel, servant of the living God, has your God, whom you serve continually, been able to rescue you from the lions?’ Daniel answered, ‘May the king live forever! My God sent his angel, and he shut the mouths of the lions. They have not hurt me, because I was found innocent in his sight.
#Churchሂዱ
@natyiu0
Daniel 6:19–22 : At the first light of dawn, the king got up and hurried to the lions’ den. When he came near the den, he called Daniel in an anguished voice, ‘Daniel, servant of the living God, has your God, whom you serve continually, been able to rescue you from the lions?’ Daniel answered, ‘May the king live forever! My God sent his angel, and he shut the mouths of the lions. They have not hurt me, because I was found innocent in his sight.
#Churchሂዱ
@natyiu0
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Forwarded from BeNN
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🚀 I Built a Checkers AI Agent That Learns Like a Brain! 🤖♟️
Hello everyone! I just built a Checkers AI Agent that learns to play using the NEAT (NeuroEvolution of Augmenting Topologies) algorithm! 🧠♟️
After a long time of learning and building, I finally created a Checkers AI Agent that mimics biology using the NEAT algorithm.
This AI doesn’t just play; it learns through self-play and evolves its neural network structure over time, just like a brain. Inspired by AlphaGo, I wanted to explore how AI can mimic biological evolution — and watching it get smarter is honestly exciting.
It’s still at a basic level, but seeing it grow and learn on its own makes it incredibly rewarding. You can play against the AI in your browser or train your own models.
It is also open source.
Try it online, check out the code, or contribute!
🔗 Play now: https://checkers-using-neat1.onrender.com/
🔗 GitHub: https://github.com/benasphy/Checkers_Using_NEAT
⭐ Don’t forget to star, fork.
For questions or contributions DM @benasphy
Hello everyone! I just built a Checkers AI Agent that learns to play using the NEAT (NeuroEvolution of Augmenting Topologies) algorithm! 🧠♟️
After a long time of learning and building, I finally created a Checkers AI Agent that mimics biology using the NEAT algorithm.
This AI doesn’t just play; it learns through self-play and evolves its neural network structure over time, just like a brain. Inspired by AlphaGo, I wanted to explore how AI can mimic biological evolution — and watching it get smarter is honestly exciting.
It’s still at a basic level, but seeing it grow and learn on its own makes it incredibly rewarding. You can play against the AI in your browser or train your own models.
It is also open source.
Try it online, check out the code, or contribute!
🔗 Play now: https://checkers-using-neat1.onrender.com/
🔗 GitHub: https://github.com/benasphy/Checkers_Using_NEAT
⭐ Don’t forget to star, fork.
For questions or contributions DM @benasphy
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When it comes to handling and processing files, videos, text, images, whatever .. Python’s ecosystem is by far the most solid and mature I’ve seen.
@selfmadecoder
@selfmadecoder
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