---
layout: farshid_default
title: "TensorFlow Deployment Specialization"
permalink: /notes/courses/tensorflow-deploy/
description: "TensorFlow deployment: browser-based TF.js, device-based TF Lite, data pipelines, and optimization."
---

TensorFlow deployment: browser-based TF.js, device-based TF Lite, data pipelines, and optimization.

# TensorFlow: Data and Deployment Specialization

## 4 Courses

1. **Browser-based Models with TensorFlow.js**
2. **Device-based Models with TensorFlow Lite**
3. **Data Pipelines with TensorFlow Data Services**
4. **Advanced Deployment Scenarios with TensorFlow**

## TF Lite Benefits
- Lightweight + low-latency + privacy
- Improved power consumption
- Efficient model ready to use

## Optimization Techniques
- Quantization (all CPU platforms, reduced latency, low memory)
- Weight pruning
- Model topology transforms
- Tensor decomposition
- Distillation

#TensorFlow #EdgeAI #MobileML #FarshidPirahansiah