building-neural-networks

## Overview This skill empowers Claude to design and implement neural networks tailored to specific tasks. It leverages the neural-network-builder plugin to automate the process of defining network architectures, configuring layers, and setting training parameters. This ensures efficient and accurate creation of neural network models. ## How It Works 1. **Analyzing Requirements**: Claude analyzes the user's request to understand the desired neural network architecture, task, and performance goals. 2. **Generating Configuration**: Based on the analysis, Claude generates the appropriate configuration for the neural-network-builder plugin, specifying the layers, activation functions, and other relevant parameters. 3. **Executing Build**: Claude executes the `build-nn` command, triggering the neural-network-builder plugin to construct the neural network based on the generated configuration. ## When to Use This Skill This skill activates when you need to: - Create a new neural network architecture for a specific machine learning task. - Modify an existing neural network's layers, parameters, or training process. - Design a neural network using specific layer types, such as convolutional, recurrent, or transformer layers. ## Examples ### Example 1: Image Classification User request: "Build a convolutional neural network for image classification with three convolutional layers and two fully connected layers." The skill will: 1. Analyze the request and determine the required...