Who is this class for: This course is aimed at individuals with basic knowledge of machine learning, who want to know how to set technical direction and set prioritization for their work or their team's work.


Created by:  deeplearning.ai

Basic Info
Course 3 of 5 in the Deep Learning Specialization.
LevelBeginner
Commitment2 weeks of study, 3-4 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
deeplearning.ai
deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders.
Pricing
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Access to graded materials

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Receive a final grade

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Earn a shareable Course Certificate

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Ratings and Reviews
Rated 4.8 out of 5 of 123 ratings

Lots of practical stuff about training models. But you should try building a few models before doing the course. Otherwise, you may not fully appreciate how much time can be wasted unless you use Andrew's clear and logical approaches.

Very nice course that explains well how to structure and plan your machine learning projects. I especially liked the case studies!

This course is a summary of Andrew's experience. I've yet listened this nuts and bolts from Andrew speech(you can find it on youtube) but there are some precious advice that are so much valuable. I'll recommend this course to everyone who want to start a carer in DL. Big thanks to Andrew, the Deeplearning.ai team and Coursera.

Amazing course contents and case studies to get a solid understanding of key Deep learning concepts and applications in real world scenarios...very helpful for freshers in Deep Learning like me.