# Tensorflow

> Build and deploy machine learning models with TensorFlow, covering Keras, data pipelines, and production serving.

- Skill: `neuralblitz/tensorflow` (Agent Skill)
- Install (CLI): `npx skillmds@latest add neuralblitz/tensorflow`
- Raw SKILL.md: https://api.skillmd.com/api/skills/neuralblitz/tensorflow/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML, Model Training & Fine-tuning
- Tags: Keras, Savedmodel, Tensorboard, Tensorflow, Tensorflow Serving, Tf Data, Tflite, Tfx
- Author: NeuralBlitz (https://skillmd.com/u/neuralblitz)
- Updated: 2026-08-22
- Page: https://skillmd.com/skills/neuralblitz/tensorflow

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# TensorFlow

TensorFlow is an end-to-end open-source machine learning platform developed by Google. It provides comprehensive tools for building and deploying ML models, with strong production support.

## Key Concepts

- Computational graphs
- Keras high-level API
- tf.data for pipelines
- SavedModel format
- TensorFlow Serving

## Common Use Cases

- Production ML systems
- Large-scale distributed training
- Mobile/Edge deployment (TFLite)
- Computer vision
- NLP with Transformers

## Best Practices

- Use Keras for rapid prototyping
- Implement data pipelines with tf.data
- Use TensorBoard for monitoring
- Profile with tf.profiler
- Use TFX for MLOps

## Resources

- TensorFlow.org: tensorflow.org/tutorials
- Related Skills: machine-learning, keras, mlops