Getting Started with Tensorflow 2

Offered By
Coursera Project Network
In this Guided Project, you will:

Install and configure Tensorflow 2

Utilize basic Tensorflow 2 functions

Design and train a simple model in Tensorflow 2

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project you will be introduced to Tensorflow from the ground up. Tensorflow is an extremely popular free and open source machine learning framework developed by Google. Using Tensorflow, developers can utilize the power of deep learning to create applications with features of artificial intelligence, such as natural language processing, object/image recognition, and prediction of continuous variables. We'll practice the basics, including installation, and finally we will build our own simple Tensorflow model. Your Tensorflow journey begins here! The methods you will learn in the course of this project will enable you to build learning agents for any potential purpose and provide valuable experience in your Machine Learning and Artificial Intelligence development journey. Python experience is heavily recommended. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Artificial Neural NetworkMachine LearningTypes Of Artificial Neural NetworksPython ProgrammingTensorflow

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. Understanding Tensors

  2. Installing Tensorflow 2

  3. Discovering the Basics of Tensorflow and Basic Computations

  4. Implementing Gradient Descent with Autodiff

  5. Developing a Model Structure

  6. Creating Custom Modules and Importing Datasets

  7. Build, Train, and Evaluate ANN Model

  8. Visualizing and Saving Models

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.