Deep Learning Specialization(v.2)
Issued by
Coursera
The course objective is to provide an understanding of the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.
Additional DetailsSkills
Earning Criteria
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The methods of assessment include quizzes, programming assignment and more with a minimum passing score of 80%.
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Instructional strategies include: audio visual materials, case studies, practical exercises, lectures.
Endorsements
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American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 9 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in Fundamentals of Neural Networks and Deep Learning in the lower-division undergraduate category -
American Council on Education
3 semester hours in Applied Techniques in Machine Learning Systems in the upper-division undergraduate category -
American Council on Education
3 semester hours in Deep Learning Architectures in the upper-division undergraduate category
