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学生对 DeepLearning.AI 提供的 Neural Networks and Deep Learning 的评价和反馈

4.9
123,577 个评分

课程概述

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

热门审阅

MM

Jun 10, 2020

An excellent introduction to Neural Network and Deep Learning. In particular, I found the insights and analogies shared during the course very useful. Can't wait to complete the next 4 in the series!

HN

Jan 17, 2020

Very structured approach to developing a neural network which I believe I can use as foundation for any project regardless its complexity. Thanks professor Andrew Ng and the team for their dedication.

筛选依据:

5176 - Neural Networks and Deep Learning 的 5200 个评论(共 10,000 个)

创建者 Ashok C

Sep 3, 2020

Andrew NG is an absolutely brilliant teacher,and learning machine learning and deep learning concepts from his course has been a really wonderful experience.

创建者 ANKIT M

Jun 28, 2020

The course was exceptional. I learnt how to implement a very deep neural network from scratch.Way of explanation, were also much better.Thanks Andrew ng sir!

创建者 Prasad D

Jun 27, 2020

I have learnt a lot from this course. Andrew Ng have simplified the mathematics behind Neural Networks. Also the exercises related to numpy were very useful.

创建者 Ayush G

Jun 2, 2020

Amazing course on Neural Networks for beginners. Explaining theory first and then the programming assignments for applying that knowledge are simply awesome.

创建者 antonio b

May 28, 2020

Andrew Ng is really a good teacher and practitioners. Enjoy and looking forward to the next courses and books about NN. Great ideas are also coming along ..

创建者 Osvaldo R

May 18, 2020

All math formulations are well explained! Easy to follow, most important topics are covered, no need to look for extra material to understand the algorithms.

创建者 Ayushman K

Apr 1, 2020

This course is the best course on internet... I loved this course. I learnt a lot. Thank you Coursera, DeepLearning.ai and Andrew Ng for this amazing course.

创建者 Alaa H S

Feb 24, 2020

Mr.Andrew NG explains in a distinct way and perfectly simplifies ideas, and I want thank him so much,and appreciation for his effort. with my respect Alaa S.

创建者 Pree R

Feb 14, 2020

this is a great course which explains in-depth the workings of a neural network , its highly useful for anyone looking to start a career in data science & AI

创建者 Prakhya S

Feb 5, 2020

The entire course is explained in simple language and is easy to understand. I am completely new to deep learning and would definitely recommend this course.

创建者 Vibhutesh K S

Sep 25, 2019

It was a really interesting and easy course. Machine Learning/Data Science being called Electricity of the modern world have really made a mark in the start!

创建者 Jose P

Sep 14, 2019

Lectures have been superbly planned. Time spent by key ideas conveyed is very optimal. Non-technical remarks were spot-on, added useful colour to the topics.

创建者 Roshni T

Sep 8, 2019

If you have no knowledge at all in AI and how things work, this is the best course to grab first. All you need is courage and a little bit of linear algebra.

创建者 Shrey G

May 5, 2019

Assignments could have been made more difficult and in depth coding sessions would be helpful. Also session on using plotting libraries in Python would help.

创建者 Guangchen X

Mar 24, 2019

This is an awesome course! I would highly recommend it to anyone who's interested in DL. Andrew did very well in considering all the details for this course.

创建者 Jose F P P

Jan 21, 2019

This course give me more confidence with deeplearning concepts and also help me to understand what is behind the forward and backward propagation algorithms.

创建者 Sherif M

Dec 14, 2018

Great introduction to neural networks. You need some basic math skills especially in calculus and linear algebra although it is possible to skip these parts.

创建者 Sanwal Y

Oct 16, 2018

Great Intro courser to get the intuition behind the workings of Neural Networks and Deep Learning. I am excited to do the next courses to see where I end up.

创建者 Elmer P

Sep 30, 2018

The course is a must for those who really want to understand how neural networks work. This is by far the best entry point for going deep with deep learning.

创建者 Subrata S

Jul 8, 2018

Very informative and well designed course. A must for all beginners or for someone who wants to go over the basics again. I like the programming assignments.

创建者 Kangrui R

Jun 16, 2018

It extremely satisfies my needs. This course has taught me how a framework works and how we could develop a artificial neural network in Python by ourselves.

创建者 Mark D

Mar 24, 2018

Remove the concerns of my ancient days of Calculus. A kinder-gentle approach to Calculus. Also the basics of implementation of Neural Nets/backpropagation.

创建者 David R

Mar 11, 2018

I've dabbled in MOOCs before and this was the first one that I enjoyed from beginning to end. Great lectures, good lessons to reinforce the learning process.

创建者 Boubacar S D

Feb 26, 2018

Great course with implementation in Python which allows you to understand the structure of a deep learning network and how to use python for Machine Learning

创建者 Prabhjot K

Dec 18, 2017

Thanks Prof. Andrew for such an amazing course, learnt a lot. This course is must if you want to have strong foundation of deep learning and neural networks.