How does the skill trigger the construction of a network?

The skill analyzes your architectural requirements and executes the build-nn command via the neural-network-builder plugin to construct the model.

Do I need to be an expert in ML to use this skill?

While helpful, the skill simplifies the process by translating natural language requests like 'build an image classifier' into technical configurations.

Which neural network types are supported by this skill?

The skill supports a variety of architectures including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) with LSTM cells, and Transformer models.

Does it support best practices like regularization?

Absolutely. The skill follows best practices by allowing the implementation of dropout and L1/L2 regularization to prevent overfitting.

Can I use this skill to modify an existing model architecture?

Yes, you can use the skill to adjust layers, change activation functions, or update training parameters of an existing neural network configuration.

Neural Network Builder

Name: Neural Network Builder
Author: jeremylongshore

byjeremylongshore

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883

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Data Science & ML

Automates the construction and configuration of deep learning architectures including CNNs, RNNs, and Transformers using standardized implementation patterns.

The Neural Network Builder skill empowers Claude to act as an expert AI architect, streamlining the design and implementation of complex neural network models. By leveraging the neural-network-builder plugin, it translates high-level requirements into precise configurations for layers, activation functions, and training parameters. Whether you are building an image classifier with convolutional layers or a text generator using LSTMs and embeddings, this skill ensures that your network architecture is theoretically sound and ready for execution. It is particularly useful for developers and data scientists looking to rapidly prototype, refine, or document neural architectures within their development workflow.

Key Features

01Seamless integration with the build-nn command-line utility

02883 GitHub stars

03Automated generation of CNN, RNN, and Transformer architectures

04Support for advanced components like LSTM cells and embedding layers

05Implementation of regularization techniques like dropout and L1/L2

06Precise configuration of layers, filters, and activation functions

Use Cases

01Defining recurrent architectures with LSTM cells for natural language processing and text generation

02Creating multi-layer convolutional networks for specialized image classification tasks

03Modifying and optimizing existing neural network parameters to improve training 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

Key Features

01Seamless integration with the build-nn command-line utility

02883 GitHub stars

03Automated generation of CNN, RNN, and Transformer architectures

04Support for advanced components like LSTM cells and embedding layers

05Implementation of regularization techniques like dropout and L1/L2

06Precise configuration of layers, filters, and activation functions

Use Cases

01Defining recurrent architectures with LSTM cells for natural language processing and text generation

02Creating multi-layer convolutional networks for specialized image classification tasks

03Modifying and optimizing existing neural network parameters to improve training 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