Do I need to manually write the layer configurations?

No, this skill analyzes your natural language requirements to automatically generate the appropriate configuration for the neural-network-builder plugin.

Can I use this skill to tune existing models?

Yes, the skill is designed to both create new architectures and modify existing ones, including changing layer parameters or training settings.

Does it support regularization techniques?

Yes, you can specify regularization methods such as dropout and L1/L2 regularization within your requests to help prevent model overfitting.

What types of neural networks can I build with this skill?

You can construct a wide variety of architectures including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) with LSTM cells, and Transformer models.

Neural Network Builder

Name: Neural Network Builder
Author: jeremylongshore

byjeremylongshore

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883

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数据科学与机器学习

Automates the design and construction of complex neural network architectures like CNNs, RNNs, and Transformers using simple natural language commands.

The Neural Network Builder skill empowers Claude to architect, configure, and implement custom neural network models tailored to specific machine learning tasks. By leveraging the specialized neural-network-builder plugin, this skill handles the technical complexity of defining layers, activation functions, and training parameters. It allows developers to rapidly prototype architectures for image classification, natural language processing, and sequence modeling without manually writing boilerplate configuration code.

主要功能

01Support for advanced regularization techniques including dropout and L1/L2

02Optimization guidance for training parameters like learning rate and batch size

03Automated architecture generation for CNNs, RNNs, and Transformers

04Natural language configuration of layers, activation functions, and parameters

05Direct execution of neural network construction via the build-nn command

06883 GitHub stars

使用场景

01Constructing convolutional neural networks for image classification and computer vision

02Defining RNN or Transformer architectures for text generation and NLP tasks

03Modifying and tuning existing network layers to optimize model performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills neural-network-builder

For use in Claude.ai and ChatGPT

Download Skill

主要功能

01Support for advanced regularization techniques including dropout and L1/L2

02Optimization guidance for training parameters like learning rate and batch size

03Automated architecture generation for CNNs, RNNs, and Transformers

04Natural language configuration of layers, activation functions, and parameters

05Direct execution of neural network construction via the build-nn command

06883 GitHub stars

使用场景

01Constructing convolutional neural networks for image classification and computer vision

02Defining RNN or Transformer architectures for text generation and NLP tasks

03Modifying and tuning existing network layers to optimize model performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills neural-network-builder

For use in Claude.ai and ChatGPT

Download Skill