Train tiny neural networks and visualize backpropagation steps.
npx skills add https://github.com/47network/Sven --skill micrograd
Please help me install this Agent Skill. Skill: micrograd Source: https://github.com/47network/Sven/tree/main/skills/ai-agency/micrograd Command: npx skills add https://github.com/47network/Sven --skill micrograd
Train tiny neural networks and visualize backpropagation steps.
Start by creating a session, define a tiny network architecture, and run a short training to observe backpropagation in action.
High-intent search queries and answers about installing and using this skill.
Yes, you can build neural networks from scratch by defining a tiny architecture using Neuron, Layer, and MLP components. A TypeScript handler and micrograd runtime manage the session and training workflows.
You can train a tiny neural network using Stochastic Gradient Descent (SGD) with Mean Squared Error (MSE), hinge, or binary cross-entropy loss functions. These options support training across XOR, moon, and custom datasets.
Yes, an interactive 10-step guided tour explains gradient flow from basic scalar autograd nodes to training a moon classifier. This visual walkthrough requires no prior deep learning framework experience.
Small-network training is demonstrated using XOR, moon, and custom datasets. These datasets help visualize decision boundaries and parameter snapshots during the training loop.
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