About this Course

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Learner Career Outcomes

40%

started a new career after completing these courses

43%

got a tangible career benefit from this course

12%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.

Approx. 30 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, Turkish, English, Spanish, Japanese...

Skills you will gain

Computer VisionTensorflowMachine Learning

Learner Career Outcomes

40%

started a new career after completing these courses

43%

got a tangible career benefit from this course

12%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.

Approx. 30 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, Turkish, English, Spanish, Japanese...

Instructor

Offered by

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deeplearning.ai

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(26,457 ratings)Info
Week
1

Week 1

6 hours to complete

A New Programming Paradigm

6 hours to complete
4 videos (Total 16 min), 5 readings, 3 quizzes
4 videos
A primer in machine learning3m
The ‘Hello World’ of neural networks5m
Working through ‘Hello World’ in TensorFlow and Python3m
5 readings
Before you begin: TensorFlow 2.0 and this course10m
From rules to data10m
Try it for yourself10m
Introduction to Google Colaboratory10m
Week 1 Resources10m
1 practice exercise
Week 1 Quiz
Week
2

Week 2

7 hours to complete

Introduction to Computer Vision

7 hours to complete
7 videos (Total 15 min), 6 readings, 3 quizzes
7 videos
An Introduction to computer vision2m
Writing code to load training data2m
Coding a Computer Vision Neural Network2m
Walk through a Notebook for computer vision3m
Using Callbacks to control training1m
Walk through a notebook with Callbacks1m
6 readings
Exploring how to use data10m
The structure of Fashion MNIST data10m
See how it's done10m
Get hands-on with computer vision1h
See how to implement Callbacks10m
Week 2 Resources10m
1 practice exercise
Week 2 Quiz
Week
3

Week 3

8 hours to complete

Enhancing Vision with Convolutional Neural Networks

8 hours to complete
6 videos (Total 19 min), 6 readings, 3 quizzes
6 videos
What are convolutions and pooling?2m
Implementing convolutional layers1m
Implementing pooling layers4m
Improving the Fashion classifier with convolutions4m
Walking through convolutions3m
6 readings
Coding convolutions and pooling layers10m
Learn more about convolutions10m
Getting hands-on, your first ConvNet10m
Try it for yourself1h
Experiment with filters and pools1h
Week 3 Resources10m
1 practice exercise
Week 3 Quiz
Week
4

Week 4

9 hours to complete

Using Real-world Images

9 hours to complete
9 videos (Total 27 min), 10 readings, 3 quizzes
9 videos
Understanding ImageGenerator4m
Defining a ConvNet to use complex images2m
Training the ConvNet with fit_generator2m
Walking through developing a ConvNet2m
Walking through training the ConvNet with fit_generator3m
Adding automatic validation to test accuracy4m
Exploring the impact of compressing images3m
A conversation with Andrew1m
10 readings
Explore an impactful, real-world solution10m
Designing the neural network10m
Train the ConvNet with ImageGenerator10m
Exploring the solution10m
Training the neural network10m
Experiment with the horse or human classifier1h
Get hands-on and use validation30m
Get Hands-on with compacted images30m
Week 4 Resources10m
Wrap up10m
1 practice exercise
Week 4 Quiz

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About the DeepLearning.AI TensorFlow Developer Professional Certificate

TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate. Looking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization....
DeepLearning.AI TensorFlow Developer

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