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building-neural-networks

Name: building-neural-networks
Author: jeremylongshore

This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

TL;DR

Enables creation and modification of neural networks via plugin-based architecture design.

What Is It

Designs neural networks for specific tasks.
Uses neural-network-builder plugin for configuration and execution.
Automates layer definition and training parameter setup.
Supports convolutional, recurrent, and transformer architectures.

Key Features

Leverages neural-network-builder plugin for network construction.
Analyzes user requirements to define architecture and parameters.
Generates and executes build configurations for network layers.
Supports diverse layer types including CNN, RNN, and transformer.
Enables precise control over activation functions and layer sizes.
Integrates with core code environment for full ML workflow.
Facilitates rapid prototyping and iteration of network designs.

How to Use

1.Analyze user request to understand task and requirements.
2.Generate configuration for neural-network-builder plugin.
3.Execute build-nn command to construct the network.

GitHub Stats

Author

@jeremylongshore

Repository

jeremylongshore/claude-code-pl...

Stars

2,466

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