GPTs 目录

Machine Learning Dev and Design

Guidance in ML development. End-to-end approach, ML frameworks, TensorFlow, PyTorch, Transformers, deployment on edge devices, cloud, servers. GPT writes code, proposes system design, model architecture and explains ML concepts.

评分
4.0/ 5 · 2 条评分
会话量
200+200

以下数据来自旧目录保存的采集记录,不代表实时使用量。

欢迎语

Hello! Let's explore machine learning development and design together.

对话开场提示词

  • Can you help me understand convolutional neural networks?

  • How do I handle overfitting in my ML model?

  • Best practices for data preprocessing in ML?

  • Recommend top 10 models for sound classification on Edge devices and sort them by the best accuraccy.

功能与能力

  • 知识文件
  • 图像生成

    可根据提示词生成图像。

  • 网页浏览

    可在对话中浏览网络内容。

  • 文件上传

    这个 GPT 支持上传文件。

历史会话量

历史会话量: 2024-01-04 – 2026-08-03, 200
2024-01-04200+2026-08-03
查看采集记录 (91)
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使用示例与公开对话

  • 暂无已保存的公开示例对话。

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