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Embark on an exciting journey into the world of Artificial Intelligence with my new course, "Understanding AI". In this first lesson, we dive into the fundamentals of Neural Networks, breaking away from the conventional Machine Learning context. Try out this unique hands-on experience where you'll manually tweak network parameters to teach a car how to drive within a specially crafted playground.

Whether you're new to AI or seeking a deeper understanding, this course caters to all levels. I have over a decade of machine learning expertise, and will emphasize the importance of revisiting basics in an era of easy-to-use complex models. Homework assignments and a final challenge to race AI cars await you, with live stream events and prizes on the horizon.

The course covers essential topics such as Dijkstra's shortest path algorithm, game mechanics, camera sensor creation, and implementing analog steering through mobile apps and image processing with augmented reality. All implemented in plain JavaScript without external libraries, giving you a comprehensive understanding of the system's inner workings.

AI is more than just Neural Networks – it's a combination of various elements. This course demystifies the distinction between Artificial Intelligence and Machine Learning. While there's no Machine Learning in this course, I do plan to teach that someday as well. If you want to help collect data, go here and race:
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🚗THE PLAYGROUND🚗
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⭐LINKS⭐
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Phase 2: [ Ссылка ]
Prerequisites: [ Ссылка ]
Machine Learning Course: [ Ссылка ]
3b1b's Neural Network Video: [ Ссылка ]
Another Playground: [ Ссылка ]

💬DISCORD💬
discord.gg/gJFcF5XVn9

💻CODE💻
1. Phase 1 [ Ссылка ]
2. Phase 2 [ Ссылка ]

☕Buy me a Coffee?☕
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⚡️Join this Channel⚡️
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Excited to get started? Put your neurons into overdrive and join me on this fascinating AI adventure! 🚗💻

#UnderstandingAI #AIPlayground #NeuralNetworks #SelfDrivingCar #AICourse #javascript

⭐TIMESTAMPS⭐
00:00 Introduction
06:34 The Playground
14:40 One Neuron
21:48 Decision Boundary Plot
25:05 Homework 1
29:05 Homework 2
29:13 Clarrifications

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