TensorFlow-Examples: Learn Deep Learning
TensorFlow-Examples provides beginner-friendly tutorials and examples for startups to get started with machine learning using TensorFlow
- •You're a non-technical founder who wants to learn the basics of machine learning
- •You need to prototype a machine learning model quickly without extensive coding
- •You're looking for example code to understand how TensorFlow works
Run the `mnist` example with a specific learning rate: `python mnist/basic_mnist.py --learning_rate 0.01`
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/tensorflow-examples && curl -fsSL https://workflowstacks.com/api/skills/tensorflow-examples/claude-skill -o ~/.claude/skills/tensorflow-examples/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
TensorFlow-Examples: Learn Deep Learning is mostly documents (5 doc files, 65 small scripts) — something you read, not something you run. There is nothing to install. Last commit 25 months ago, Other license.
- 1README.mdStart here — what it does and how to install it
- 2examples/1_Introduction/basic_eager_api.pyA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/tensorflow-examples && curl -fsSL https://workflowstacks.com/api/skills/tensorflow-examples/claude-skill -o ~/.claude/skills/tensorflow-examples/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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