Who is this class for: Pre-requisites: - This course is aimed at individuals with basic knowledge of machine learning, who want to know how to set technical direction and prioritization for their work. - It is recommended that you take course one and two of this specialization (Neural Networks and Deep Learning, and Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization) prior to beginning this course.


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.

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

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Certificates

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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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Ratings and Reviews
Rated 4.8 out of 5 of 338 ratings

It is a very useful course. The ideas and rules to build machine learning projects can also apply to other area of research.

Most insightful course within the series.

very useful, especially the error analysis and bias/variance part, helps me a lot in training my NN.

This part of the specialization is short but it includes a lot of valuable information. Many of the tips are quite basic engineering best practices which most engineers should find natural, but some are very specific to deep learning and these are particularly useful to newcomers.