TensorFlow for AI: Get to Know Tensorflow

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In this Guided Project, you will:

Learn the main components of Tensorflow through hands-on exercises

Learn how to Create and Train a Neural Network with Tensorflow

Learn how to use Tensorflow for practical AI projects

Clock1.5 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

This guided project course is part of the "Tensorflow for AI" series, and this series presents material that builds on the first course of DeepLearning.AI TensorFlow Developer Professional Certificate offered at Coursera, which will help learners reinforce their skills and build more projects with Tensorflow. In this 1-hour long project-based course, you will get to know the basics and main components of Tensorflow through hands-on exercises, and you will learn how to define, compile and train a neural network with Tensorflow, and you will get a bonus practical deep learning project implemented with Tensorflow. By the end of this project, you will have developed a deeper understanding of Tensorflow, learned how to build a neural network with Tensorflow, and learned practically how to use Tensorflow to implement AI projects so that you can start building and applying scalable models to real-world problems. This class is for learners who want to use Python for building AI models with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a practical deep learning with TensorFlow project. Also, this project provides learners with deeper knowledge about the basics of Tensorflow and its main components and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios.

Skills you will develop

TensorflowPython ProgrammingDeep Learning

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 Overview of the whole Project

  2. Import Libraries and solve Practical Examples

  3. Create TensorFlow Pipeline

  4. Define, Compile and Train a Neural Network

  5. Simple Exercises for further Practice

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

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Frequently Asked Questions

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