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Neural Networks and Deep Learning(으)로 돌아가기

Neural Networks and Deep Learning, deeplearning.ai

4.9
52,232개의 평가
9,978개의 리뷰

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....

최상위 리뷰

대학: SS

Nov 27, 2017

Fantastic introduction to deep NNs starting from the shallow case of logistic regression and generalizing across multiple layers. The material is very well structured and Dr. Ng is an amazing teacher.

대학: SK

Aug 30, 2018

Nothing can get better than this course from Professor Andrew Ng. A must for every Data science enthusiast. Gets you up to speed right from the fundamentals. Thanks a lot for Prof Andrew and his team.

필터링 기준:

9,786개의 리뷰

대학: Aru

May 22, 2019

good

대학: Kong

May 22, 2019

Excellent lectures and coding practices with elaborated diagrams. Very easy to understand and touch the important contents of NN. Hopefully more details in optional math video for people who wants to explore deeper. Overall, like it a lot!

대학: Sheng Yang

May 22, 2019

easy. L layer network is well explained from 2 layer network.

대학: Suyash Bhatkar

May 22, 2019

Course is very low level. Level can be improved!

대학: Reza Ghobadpour

May 22, 2019

It was perfect course for my career

대학: APEpie

May 22, 2019

it's so nice to learn a new couser with great practice!

대학: Chunling Han

May 21, 2019

Thanks Andrew Ng, I really love his heuristic teaching style, I learnt a lot from this course. Thank you so much

대학: Jakub Longauer

May 21, 2019

Good to go over the basics from Machine Learning. This course is more comprehensive but does not introduce many new topics.

대학: Filipe Conceição

May 21, 2019

Excellent course on Neural Networks using python!!!

Recommended.

대학: Ian Lloyd Jones

May 21, 2019

Fantastic introduction! Andrew really explains this well, in-depth and in such a friendly, encouraging manner. Regarding the programming exercises: there is a fine balance between guiding the student in the right direction with hints and the student encountering frustration if the answer cannot be arrived at within a given time-frame; I think these exercises were well-balanced in that respect. A thumbs up and 5 stars for this one -- I thoroughly enjoyed the course!