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Neural Networks and Deep Learning,

48,032 ratings
9,350 reviews

About this Course

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: - Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization....

Top reviews


Jun 30, 2018

Very good course to start Deep learning. But you need to have the basic idea first. I would suggest to do the Stanford Andrew Ng Machine Learning course first and then take this specialization courses


Aug 27, 2017

This is a very good course for people who want to get started with neural networks. Andrew did a great job explaining the math behind the scenes. Assignments are well-designed too. Highly recommended.

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9,165 Reviews

By parth trivedi

Mar 18, 2019

First time o got proper explanation of derivation totally awesome course

By Pedro fernandez

Mar 18, 2019

Fantastic way to learn in building complex neural networks. Step by step, teach us how to implement layers, activation functions, cost functions and so on.

By Mr.zhao

Mar 18, 2019

Thanks for Coursera for make this online education, letting more people to get to learn thing they interested. Professor Andrew Ng make this course very easy to understand, although you have a poor knowledge about the math. Besides the assignment was much easier than I thought, what you need to finish is the some few core code, and the whole structure was finishe to guide to finishe the whole project, after several testing and reviewing, you would finish it by yourself and have a better understanding about this course.

By Sheelkant Yadav

Mar 18, 2019

Amazing course with good hands on experience

By Naveen Balaji

Mar 18, 2019

Very interesting...course

By surabhi srivastava

Mar 18, 2019

One of the best course available to prepare the base or AI

By Alessandro Marchioro

Mar 18, 2019

Excellent course, very clear explanations, great practical exercises and training material.

By Stefan Jovanovic

Mar 18, 2019

Gives a very good overview of NNs and basics of DNNs without getting too deep in the math (not needed for implementations) while also providing enough intuition (usually in the option videos) to satisfy my curiosity. Also learned about matrix and vector handling in the Python numpy library with concepts, such as broadcasting, being explained thoroughly. Having examples using Python idioms really helped with becoming a better Python programmer.

By Lokesh Khanchandani

Mar 18, 2019


By 정환 박

Mar 18, 2019

very good