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Train a TensorFlow model v1.0.0

Use this resource to set up training for a TensorFlow model

New

  • 404 downloads
  • 191 likes
  • 241 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install tensorflow-model-training

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent walks you through preparing data, defining the model and launching training in TensorFlow, then adds evaluation code. You get a starter training script to adapt.

Mostly picked by

Updated November 2, 2026

Card for the “Train a TensorFlow model” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: training steps and examples
  • SKILL.md: prerequisites, expected outputs and common errors

Good fit for

  • You are starting your first TensorFlow model
  • You want a reproducible training setup

Not for

    Tags

    • tensorflow
    • training
    • model
    • hyperparameters
    • deep learning

    About

    You say

    “Write the training script for an image classifier in TensorFlow on my data.”

    Card for the “Train a TensorFlow model” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to set up training for a TensorFlow model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/07-ml-training/tensorflow-model-trainer
    Licence
    MIT

    Notice

    « tensorflow-model-trainer » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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