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Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai

4.8
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48,355 classificações

Sobre o curso

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. 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....

Melhores avaliações

MG

30 de mar de 2020

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

TG

1 de dez de 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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2301 — 2325 de 5,522 Avaliações para o Structuring Machine Learning Projects

por Aditya P

6 de mai de 2020

This course explains the analysis part very nicely. Lots of thanks.

por JOYJIT C

18 de jan de 2020

Excellent explanations, well created labs. Thanks a ton to Prof Ng.

por Nilesh M

23 de jun de 2019

Very good course and covered lot of interesting and practical cases

por Saurabh S

21 de abr de 2019

Great courer that will leap forward my actual DL project experience

por Alberto M C

12 de fev de 2019

Good practical advice on how to structure and debug any DL projects

por Rajan K

31 de out de 2018

Gaining such a fine guidance in a small span of time is fantastic!!

por Miao J

4 de ago de 2018

Very wonderful ML course. A wonderful guidance to build ML systems.

por Huanglei P

4 de jun de 2018

Giving me great insights on dealing with machine learning projects.

por LUN C

28 de abr de 2018

For sure, you should learn it! It covers a lot of aspects. Thanks!

por Paulo A C

17 de mar de 2018

Very new / up to date course. Really usefull thoughts and analysis.

por Warwick T

17 de mar de 2018

A short course, yet with a good level of detail on the topic. Nice!

por Jitendra M

2 de nov de 2017

Very valuable portion of implementing real-world projects using DL.

por Lolo F R

27 de out de 2017

Andrew, thanks so much for sharing your experiences. God bless you.

por Obins C

24 de set de 2017

it was very practical knowledge close to real world implementation.

por Stefan S

31 de ago de 2017

Very good advices on ML Projects which you normally don't find a in

por Satyaki R

12 de set de 2021

Lots of helpful insights about debugging and improving ML systems.

por Hoang V

25 de jun de 2021

Thanks so much for giving me a chance to study this amazing course

por Rodrigo N S

3 de fev de 2021

I feel like a Deep Learning god by now. Incredible Specialization.

por Rajeev R C

20 de jan de 2021

Great case studies, clears your concepts for better understanding.

por Rian F J

17 de nov de 2020

The instructor explains the concepts very well. Very nice course!

por Sudheer D

31 de ago de 2020

Got a basic understanding on distribution of training and test set

por Saimur R A

3 de ago de 2020

Another highly helpful course and look forward to the next course.

por Sahan D

24 de jul de 2020

Superb, Must learn before you start your first deep learning model

por Harsh K

28 de jun de 2020

Teaches some really important details that everyone should know of

por Prajwal K S

14 de mai de 2020

Gain much deeper understanding about debugging the neural network.