DeepLearning.AI
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

This course is part of DeepLearning.AI TensorFlow Developer Professional Certificate

Taught in English

Some content may not be translated

Laurence Moroney

Instructor: Laurence Moroney

365,670 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.8

(19,172 reviews)

|

96%

Intermediate level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn best practices for using TensorFlow, a popular open-source machine learning framework

  • Build a basic neural network in TensorFlow

  • Train a neural network for a computer vision application

  • Understand how to use convolutions to improve your neural network

Details to know

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(19,172 reviews)

|

96%

Intermediate level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the DeepLearning.AI TensorFlow Developer Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

Welcome to this course on going from Basics to Mastery of TensorFlow. We're excited you're here! In Week 1, you'll get a soft introduction to what Machine Learning and Deep Learning are, and how they offer you a new programming paradigm, giving you a new set of tools to open previously unexplored scenarios. All you need to know is some very basic programming skills, and you'll pick the rest up as you go along. To get started, check out the first video, a conversation between Andrew and Laurence that sets the theme for what you'll study...

What's included

4 videos9 readings1 quiz1 programming assignment1 app item1 plugin

Welcome to week 2 of the course! In week 1 you learned all about how Machine Learning and Deep Learning is a new programming paradigm. This week you’re going to take that to the next level by beginning to solve problems of computer vision with just a few lines of code! Check out this conversation between Laurence and Andrew where they discuss it and introduce you to Computer Vision!

What's included

7 videos6 readings1 quiz1 programming assignment

Welcome to week 3! In week 2 you saw a basic Neural Network for Computer Vision. It did the job nicely, but it was a little naive in its approach. This week we’ll see how to make it better, as discussed by Laurence and Andrew here.

What's included

6 videos6 readings1 quiz1 programming assignment

Last week you saw how to improve the results from your deep neural network using convolutions. It was a good start, but the data you used was very basic. What happens when your images are larger, or if the features aren’t always in the same place? Andrew and Laurence discuss this to prepare you for what you’ll learn this week: handling complex images!

What's included

9 videos12 readings1 quiz1 programming assignment

Instructor

Instructor ratings
4.8 (4,854 ratings)
Laurence Moroney
DeepLearning.AI
15 Courses481,212 learners

Offered by

DeepLearning.AI

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