deep-learning SKILL.md skillA

deep-learning from aznatkoiny/zai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add aznatkoiny/zai-skills/deep-learning@git:20261010.5b03da5

Pins git:20261010.5b03da5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
aznatkoiny/zai-skills
Path
AI-Toolkit/skills/deep-learning/SKILL.md
Versions recorded
2
Latest version
git:20261010.5b03da5, committed Oct 10, 2026
First version recorded
Feb 13, 2026
Size
5,376 bytes
Repository stars
10
License
MIT

Build and train neural networks with Keras 3 on any backend (JAX, TensorFlow or PyTorch). Use when the user is writing Keras code or asks for a Keras model, wants to migrate tf.keras / Keras 2 code to Keras 3, or is working on image classification, segmentation, text classification, sequence-to-sequence, time-series forecasting, or generative models (VAE, GAN) in Keras, including custom training loops, callbacks, transfer learning, mixed precision and multi-GPU training. Not for plain PyTorch…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Deep learning with Keras 3

Help the user build models that train correctly and generalize, using patterns from *Deep Learning with Python* by François Chollet (the 3rd edition, 2025, covers Keras 3 on JAX, PyTorch and TensorFlow).

Keras 3 runs on several backends, and several references below use TensorFlow-only APIs (`tf.data`, `tf.GradientTape`, `tf.distribute`). Check which backend the user runs (`keras.backend.backend()`, or `KERAS_BACKEND`) before using a TensorFlow-only pattern, and prefer `keras.ops` and backend-neutral APIs when the user isn't on TensorFlow. Library APIs move between releases: check `keras.__version__` and, if a docs or web tool is available, look up anything you're unsure of. Current as of October 2026: Keras 3.15.

## Core workflow

1. **Prepare data:** normalize, split train/validation/test, and feed it as NumPy arrays, a `tf.data.Dataset`, a PyTorch `DataLoader`, or a `keras.utils.PyDataset`. All of these work with every backend.
2. **Build the model:** Sequential, Functional, or subclassing API (below).
3. **Compile:** `model.compile(optimizer, loss, metrics)`.
4. **Train:** `model.fit(data, epochs=..., validation_data=..., callbacks=...)`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add aznatkoiny/zai-skills/deep-learning@sha256:0be7681c472f8690

The line at the top of this page pins the label git:20261010.5b03da5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_e6b4fphqshs3ptdc.svg)](https://markdownregistry.com/a/art_e6b4fphqshs3ptdc)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Feb 13, 2026 and Oct 10, 2026, about one every 238 days.

versioncommittedcommitsizeaudit
git:20261010.5b03da5 latest2026-10-10 5b03da5 5,376 BA view · diff
git:20260213.9792cea2026-02-13 9792cea 4,031 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5376 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

aznatkoiny/zai-skills · 10 stars · license MIT · pushed 2026-11-07 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_e6b4fphqshs3ptdc
GET https://markdownregistry.com/api/v1/resolve?ref=aznatkoiny/zai-skills/deep-learning
GET https://markdownregistry.com/api/v1/blob/0be7681c472f8690719094b6add771a0488584eea09184dd7fec3b9215b2cf3d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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