Neural Networks Explained
A beginner-friendly guide to understanding neural networks
51 followers
A beginner-friendly guide to understanding neural networks
51 followers
I created this beginner-friendly guide to explain neural networks in a simple way. It covers how neural networks work, their basic concepts, and why they are important in modern AI. This launch is for students, developers, and anyone who wants to start learning artificial intelligence.
This is the 6th launch from Neural Networks Explained. View more
MCP Explained 2026
Launching today
This launch introduces a clear, beginner-focused guide to the Model Context Protocol (MCP). It explains what MCP is, why it matters for AI applications, how AI models connect with external tools and data, and where MCP fits into modern AI workflows. The guide uses simple language, practical examples, and up-to-date 2026 information to help newcomers understand this emerging standard.
Free
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Looks like a solid starting point for anyone new to neural networks, the diagrams made the activation concepts finally click for me. Would be even better with a few small code examples tossed in.
@ceydaotman Thank you so much! I'm really glad the diagrams helped make the activation concepts click. That's a great suggestion—I’ll add a few simple Python code examples in the next update so readers can connect the theory with practical implementation. I really appreciate your feedback!
A really solid starting point for anyone feeling intimidated by the topic. One thing that would make it stick better is a simple, interactive example where you can adjust the weights and see the output change in real time. Even a basic slider for a single neuron would turn the concept from abstract to tangible. That kind of hands-on tinkering is what made it click for me.
@dilekgiova33698 Thank you! I really appreciate the suggestion. I'd love to add an interactive demo like that. At the moment I'm publishing on Blogger, which has some limitations for interactive features, but it's definitely something I'd like to explore in the future.