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OVERVIEW 📖

How does a machine actually decide something?
Before large language models and modern AI as we know it, there was a much simpler idea:

Can we build a system that takes information, evaluates it, and makes a decision?

This session explores that idea through one of the earliest and most important building blocks in AI: the perceptron. Whether you're completely new to AI or looking to strengthen your fundamentals, this session is designed to make these concepts intuitive and accessible, without assuming prior knowledge.

WHAT WE’LL COVER 🧠

We’ll start with the core question: How can a machine turn inputs into a decision? Using concrete and relatable examples, we’ll build up the intuition step by step:

  • Artificial vs. Biological: How neurons in the brain inspired the first AI models.
  • The Mechanics: How inputs, weights, and bias work together to produce a score.
  • The Decision Boundary: Visualizing how a model separates one outcome from another.
  • The Breaking Point: What kinds of problems a perceptron cannot solve (and how this limitation helped trigger the first "AI Winter").

We’ll go beyond definitions and focus on why each piece exists and what it represents in real-world terms.

No math background required, we’ll build the logic from the ground up so the formulas feel intuitive, not intimidating.

WHY THIS MATTERS 🚀

This session is designed to provide the technical grounding that is often skipped in modern AI discussions. By the end, you won't just know what a neural network is, you’ll have established Ground Zero. This is the essential starting point for the entire field, and the first step toward truly understanding the "why" behind the conversational AI systems we’ve come to associate with modern intelligence.

### 🎟️ Registration

  • Early Bird: 2,000 JPY (Until Saturday, April 18th)
  • Standard: 2,500 JPY
  • Note: Your seat is confirmed upon payment via the Meetup link.

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IMPORTANT 📌

  • No need to bring anything; all necessary materials will be provided.
  • We’ll build everything from first principles and keep the session interactive and approachable.

⚠️ Note on Content

While we aim to cover all topics listed, the content or order of the session may be adjusted to best match the pace and understanding of participants.

Related topics

Events in Tokyo, JP
Artificial Intelligence
Artificial Intelligence Applications
Machine Learning
Neural Networks
Google

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