Who is this class for: Prerequisites: Expected: - Programming: Basic Python programming skills, with the capability to work effectively with data structures. Recommended: - Mathematics: Matrix vector operations and notation. - Machine Learning: Understanding how to frame a machine learning problem, including how data is represented will be beneficial. If you have taken my Machine Learning Course here, you have much more than the needed level of knowledge.

Created by:  deeplearning.ai

Basic Info
Course 1 of 5 in the Deep Learning Specialization
Commitment4 weeks of study, 3-6 hours a week
English, Subtitles: Chinese (Traditional)
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said

How It Works

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

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deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders.
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Ratings and Reviews
Rated 4.9 out of 5 of 13,419 ratings

Well explained with clean algorithms.

GREAT course! Andrew elaborated the neural network for Deep Learning in an extremely clear and well-organized way! Follow his guidance and instructions, not only I comprehended the intricacies of deep learning, but also a full-fledged neural network can be implemented from scratch by myself in Python!

Very good translation into Python environment of the previous Coursera course made upon Octave. Class is very intuitive and Andrew a perfect teacher. The grader has some problem... as usual. But nothing critical and the benefits of this course are huge. Thanks Coursera and DeepLearning.ai

Excellent course, totally worth the time invested.