About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
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Intermediate Level

Calculus, Linear algebra, Python, NumPy, Pandas, Matplotlib, and Scikit-learn. Familiarity with classic Supervised and Unsupervised Learning.

Approx. 60 hours to complete
English

What you will learn

  • Apply different optimization methods while training and explain different behavior.

  • Use cloud tools and deep learning libraries to implement CNN architecture and train for image classification tasks.

  • Apply deep learning package to sequential data, build models, train, and tune.

Skills you will gain

  • Deep Learning
  • Artificial Neural Network
  • Convolutional Neural Network
  • Unsupervised Deep Learning
  • Recurrent Neural Network
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Calculus, Linear algebra, Python, NumPy, Pandas, Matplotlib, and Scikit-learn. Familiarity with classic Supervised and Unsupervised Learning.

Approx. 60 hours to complete
English

Offered by

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University of Colorado Boulder

Start working towards your degree

This Course is part of an online degree program offered by the University of Colorado Boulder. When you enroll in a for-credit non-degree course through the university and complete it online, it counts as credit hours towards a degree at CU-Boulder. All you have to do is apply through the university.

Syllabus - What you will learn from this course

Week
1
Week 1
10 hours to complete

Deep Learning Introduction, Multilayer Perceptron

10 hours to complete
6 videos (Total 68 min), 8 readings, 6 quizzes
Week
2
Week 2
8 hours to complete

Training Neural Networks

8 hours to complete
6 videos (Total 86 min), 1 reading, 2 quizzes
Week
3
Week 3
15 hours to complete

Deep Learning on Images

15 hours to complete
11 videos (Total 135 min), 1 reading, 2 quizzes
Week
4
Week 4
14 hours to complete

Deep Learning on Sequential Data

14 hours to complete
4 videos (Total 44 min), 2 readings, 1 quiz

About the Machine Learning: Theory and Hands-on Practice with Python Specialization

Machine Learning: Theory and Hands-on Practice with Python

Frequently Asked Questions

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