Coursera Project Network
Optimize TensorFlow Models For Deployment with TensorRT
Coursera Project Network

Optimize TensorFlow Models For Deployment with TensorRT

Taught in English

Snehan Kekre

Instructor: Snehan Kekre

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(73 reviews)

What you'll learn

  • Optimize Tensorflow models using TensorRT (TF-TRT)

  • Use TF-TRT to optimize several deep learning models at FP32, FP16, and INT8 precision

  • Observe how tuning TF-TRT parameters affects performance and inference throughput

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(73 reviews)

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction and Project Overview

  2. Setup your TensorFlow and TensorRT Runtime

  3. Load the Data and Pre-trained InceptionV3 Model

  4. Create batched Input

  5. Load the TensorFlow SavedModel

  6. Get Baseline for Prediction Throughput and Accuracy

  7. Convert a TensorFlow saved model into a TF-TRT Float32 Graph

  8. Benchmark TF-TRT Float32

  9. Convert to TF-TRT Float16 and Benchmark

  10. Converting to TF-TRT INT8

Recommended experience

It is assumed that are competent in Python programming and have prior experience with building deep learning models with TensorFlow and its Keras API

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Instructor

Instructor ratings
4.5 (7 ratings)
Snehan Kekre
Coursera Project Network
37 Courses184,199 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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4.5

73 reviews

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  • 1 star

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AA
5

Reviewed on Mar 14, 2022

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5

Reviewed on Jun 3, 2021

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