Neural Networks and Deep Learning | Coursera

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In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.Neural Networks and Deep Learning This course is part of [Deep Learning Specialization](/specializations/deep-learning) Taught in English Some content may not be translated 1,244,192 already enrolled Course (119,840 reviews) 97% Recommended experience Skills you’ll gain -…

imageIn the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.Neural Networks and Deep Learning This course is part of [Deep Learning Specialization](/specializations/deep-learning) Taught in English Some content may not be translated 1,244,192 already enrolled Course (119,840 reviews) 97% Recommended experience Skills you’ll gain – Category: Deep Learning – Category: Artificial Neural Network – Category: Backpropagation – Category: Python Programming – Category: Neural Network Architecture Details to know Add to your LinkedIn profile 4 quizzes Course (119,840 reviews) 97% Recommended experience See how employees at top companies are mastering in-demand skills Build your subject-matter expertise [Deep Learning Specialization](/specializations/deep-learning) – Learn new concepts from industry experts – Gain a foundational understanding of a subject or tool – Develop job-relevant skills with hands-on projects – Earn a shareable career certificate Earn a career certificate Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review There are 4 modules in this course Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today.What’s included 6 videos2 readings1 quiz2 app items Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.What’s included 19 videos5 readings1 quiz2 programming assignments Build a neural network with one hidden layer, using forward propagation and backpropagation.What’s included 12 videos1 reading1 quiz1 programming assignment Analyze the key computations underlying deep learning, then use them to build and train deep neural networks for computer vision tasks.What’s included 8 videos7 readings1 quiz2 programming assignments Instructors Offered by Recommended if you’re interested in Machine Learning Why people choose Coursera for their career Learner reviews Showing 3 of 119840 119,840 reviews – 5 stars 89.78% – 4 stars 9.19% – 3 stars 0.81% – 2 stars 0.12% – 1 star 0.13% Reviewed on Nov 27, 2017 Reviewed on Sep 2, 2019 Reviewed on Oct 8, 2017 New to Machine Learning? Start here.Open new doors with Coursera Plus Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs – all included in your subscription Advance your career with an online degree Earn a degree from world-class universities – 100% online Join over 3,400 global companies that choose Coursera for Business Upskill your employees to excel in the digital economy Frequently asked questions Access to lectures and assignments depends on your type of enrollment.If you take a course in audit mode, you will be able to see most course materials for free.

To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit.If you don’t see the audit option: The course may not offer an audit option.You can try a Free Trial instead, or apply for Financial Aid.The course may offer ‘Full Course, No Certificate’ instead.This option lets you see all course materials, submit required assessments, and get a final grade.This also means that you will not be able to purchase a Certificate experience.When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work.Your electronic Certificate will be added to your Accomplishments page – from there, you can print your Certificate or add it to your LinkedIn profile.

If you only want to read and view the course content, you can audit the course for free.If you subscribed, you get a 7-day free trial during which you can cancel at no penalty.After that, we don’t give refunds, but you can cancel your subscription at any time.[See our full refund policy](https://learner.coursera.help/hc/en-us/articles/208280266-Refund-policies)..

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