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Avis et commentaires pour d'étudiants pour Sequences, Time Series and Prediction par deeplearning.ai

4.7
étoiles
4,528 évaluations

À propos du cours

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Meilleurs avis

OR

3 août 2019

It was an amazing experience to learn from such great experts in the field and get a complete understanding of all the concepts involved and also get thorough understanding of the programming skills.

MI

6 juin 2020

I really enjoyed this course, especially because it combines all different components (DNN, CONV-NET, and RNN) together in one application. I look forward to taking more courses from deeplearning.ai.

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576 - 600 sur 716 Avis pour Sequences, Time Series and Prediction

par Advay M

17 nov. 2020

add more videos to clear deep understanding of time series and more graded practical assignments too...

par Muthu R P E

11 déc. 2019

Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.

par AasaiAlangaram

13 déc. 2019

Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.

par Ankur Y

13 mars 2020

There should have been a multivariate Time series example in this course, Otherwise it was great

par Michalis F

1 oct. 2019

overall good... but was expecting a bit more of it , being the last course in the specialization

par Manish G

22 août 2019

Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!

par Igor B

18 mars 2020

Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."

par Saeif A

24 août 2019

I wish there was graded assignment as the quizzes are shallow and not enough to practice.

par Javier A

30 sept. 2020

I would add some code assestments and challenges as requested for the previous courses.

par akshay s

25 janv. 2020

This is just univariate time series . You should also teach multivariate time series.

par rajesh t

12 janv. 2020

need to be more advanced, with realistic data and problems. Do not use textbook data.

par Alice M

8 déc. 2019

expand on why you choose certain code. add more references for learning python better

par BOBBY J I

1 sept. 2020

Nice practical course. However, it doesn't cover multivariate time series prediction

par Eric J

12 oct. 2021

W​eekly Examens should be harder, but the "learning" content is typically perfect!

par MD. N S N

17 sept. 2020

If the sound quality is more loud & clear then this course becomes more fantastic.

par Wan N

20 juin 2020

This course is interesting and I have learned a lot of staff. Thank you, Laurence!

par Dr. W G v d S

30 avr. 2020

This is a really good introduction into the time series and sequences prediction.

par Neel A

31 août 2020

The optional exercises should be graded, it was fun there, rather than the quiz!

par Md S H C

17 août 2020

Overall a good course. Would be a 5-star if there were some graded assignments.

par Azazul I

24 août 2020

graded programming assignments and variation in examples should be imported.

par Abhishek M

19 juil. 2020

Great course!! However, there are some question that were left unanswered.

par Rob S

4 sept. 2020

Probably the toughest course that could have done with more explanation.

par Sai K K K

11 janv. 2020

Concepts and Importance of Fine tuning the parameters well explained!!

par Pak S H

30 août 2019

It will be better if there is also a multivariate time series example.

par Hemali R

23 août 2020

Very good! Good if you showed us how to work with our own data set