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DeepLearning.AI - TensorFlow: Data and Deployment Specialization 

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TensorFlow: Data and Deployment Specialization
 at 
Coursera 
Overview

Duration

4 months

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Total fee

Free

Mode of learning

Online

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Credential

Certificate

TensorFlow: Data and Deployment Specialization
 at 
Coursera 
Highlights

  • Earn a certificate upon completion
    from Coursera
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TensorFlow: Data and Deployment Specialization
 at 
Coursera 
Course details

More about this course
  • Continue developing skills in TensorFlow and learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models.
  • In this four-course Specialization, students will learn how to get their machine learning models into the hands of real people on all kinds of devices
  • Start by understanding how to train and run machine learning models in browsers and in mobile applications
  • Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data, and retrain deployed models with user data while maintaining data privacy
  • Students can apply their knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more
  • This Specialization from Laurence Moroney and Andrew Ng will help develop and deploy machine learning models across any device or platform faster and more accurately than ever
Read more

TensorFlow: Data and Deployment Specialization
 at 
Coursera 
Curriculum

Browser-based Models with TensorFlow.js

Device-based Models with TensorFlow Lite

Data Pipelines with TensorFlow Data Services

Advanced Deployment Scenarios with TensorFlow

TensorFlow: Data and Deployment Specialization
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    TensorFlow: Data and Deployment Specialization
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