This is a submission for the Coze AI Bot Challenge: Bot Innovator.
What I Built

For this challenge, I have built an interactive bot that can generate and explain neural network code. This bot aids users in understanding how to build a 3-layer neural network for AI tasks using Python. It covers step-by-step procedures from initializing the network parameters, performing forward propagation, calculating loss, backpropagation, updating parameters, and evaluating the network.
Demo
Here's a LINK_TO_BOT to my bot in the Coze Bot Store.
(https://www.coze.com/store/bot/7363039182157774854?bot_id=true)

Your Configuration
The bot uses artificial intelligence to generate Python code snippets based on the user's data and requirements. It can explain what each step does in the code, define keywords and variables, and can breakdown complex AI concepts into understandable explanations. Furthermore, the bot can include advanced techniques such as regularization, dropout, and other activation functions in the AI model to further enhance its performance.

Journey
Building this AI bot was an enlightening experience. I got to delve deeper into AI mechanisms and Python coding, and in turn, found a way to aid other learners on this journey. Seeing the bot initially generate raw codes and then eventually be capable of explaining complex concepts was by far the most rewarding. In the future, I envision expanding the bot's capabilities to include other AI models and applications, becoming an all-around tutor for AI enthusiasts.