1 months
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About

This Intro to TensorFlow offered by Coursera in partnership with Google Cloud is part of the Machine Learning with TensorFlow on Google Cloud Platform Specialization.

Visit the official programme website for more information

Overview

This Intro to TensorFlow offered by Coursera in partnership with Google Cloud  is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models.  

You will learn about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises.  

We will introduce you to working with datasets and feature columns. You will learn how to design and build a TensorFlow 2.x input data pipeline.  You will get hands-on practice loading csv data, numPy arrays, text data, and images using tf.Data.Dataset. You will also get hands-on practice creating numeric, categorical, bucketized, and hashed feature columns.

We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models.  We’ll talk about activation functions, loss, and optimization.  

Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models.  You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform.

This course is part of multiple programs

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

  • Machine Learning with TensorFlow on Google Cloud Platform Specialization
  • Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

Programme Structure

Courses include:

  • Introduction to course
  • Introduction to TensorFlow
  • Design and Build a TensorFlow Input Data Pipeline
  • Training neural networks with Tensorflow 2 and the Keras Sequential API
  • Training neural networks with Tensorflow 2 and the Keras Functional API

More Details on Coursera Plus:

  • Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
  • Save money: Spend less money on your learning if you plan to take multiple courses this year
  • Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
  • Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

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Intro to TensorFlow
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