Can this skill help prevent model overfitting?

Yes, it can suggest and implement regularization techniques such as L1/L2 weight decay and dropout to improve model generalization.

How does it reduce training time?

It identifies bottlenecks in the training process and suggests optimizations such as batch size adjustments, better optimizer selection, and efficient learning rate schedules.

What optimizers does this skill support?

The skill primarily focuses on Adam and SGD (Stochastic Gradient Descent) but can be used to implement and configure various optimization algorithms based on your specific framework.

Is this skill compatible with PyTorch and TensorFlow?

Yes, the skill provides logic and code modifications that are applicable to major deep learning frameworks like PyTorch, TensorFlow, and Keras.

Deep Learning Model Optimizer

Name: Deep Learning Model Optimizer
Author: jeremylongshore

byjeremylongshore

•

983

データサイエンスとML

Optimizes deep learning models by implementing advanced training algorithms and learning rate strategies to enhance accuracy and efficiency.

概要

This skill provides automated assistance for refining deep learning models, enabling Claude to intelligently apply optimization techniques such as Adam, SGD, and learning rate scheduling. It analyzes model architecture and training metrics to identify performance bottlenecks, generates optimized code for faster training, and evaluates the resulting impact on resource consumption. Ideal for researchers and developers, it streamlines the complex process of hyperparameter tuning and regularization to ensure models reach peak performance with minimal manual intervention.

主な機能

Dynamic learning rate scheduling implementation
Performance evaluation for accuracy and resource efficiency
983 GitHub stars
Deep analysis of model architecture and training bottlenecks
Automated selection of optimizers like Adam and SGD
Application of regularization techniques to prevent overfitting

ユースケース

Optimizing resource consumption for training in memory-constrained environments
Improving image classification accuracy through automated hyperparameter tuning
Reducing training duration for large-scale neural networks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills optimizing-deep-learning-models

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要