Retour Ã Sequences, Time Series and Prediction

Ã©toiles

4,522Â Ã©valuations

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. Youâ€™ll first implement best practices to prepare time series data. Youâ€™ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, youâ€™ll apply everything youâ€™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....

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.

OR

3 aoÃ»t 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.

Filtrer parÂ :

par samina y

â€¢27 mars 2022

It was easy to follow up all the lesson because of the way the course has been structured. I even tried in other places to learn tensorflow but i was not able to continue after few days. but this structured course was the best. I am confident about the knowledge i got.

par Rodrigo R C P

â€¢13 juin 2020

I think the goal of the course was met and the practice and examples provided are very useful. Although, it would have been nice to learn about cross validation methods for time series in order to compare and select the best model architecture for our real world data.

par Mario T

â€¢19 sept. 2019

Congratulations to Lawrence, great course. I did the other way: I fist went through Andrew's courses and then Lawrence's. I believe is best to have the theory on how DNN works, and then to to practice.

Thank you! I look forward for the new courses you will be offering.

par Aroua G

â€¢28 dÃ©c. 2019

Lots of good techniques and helper functions to work with time series. I wish there was more variety in the problems encountered (rather than prediction some time series classification for instance) but that doesn't affect the good quality of learning provided.

par Richard D

â€¢31 aoÃ»t 2021

Really good course which gets you up to speed of time series prediction. It was fantastic for me as I have knowledge in most of deep learning but not recurrent neural nets. I picked up what was happening fast and it only took me a day to complete the course

par Bilal B

â€¢4 fÃ©vr. 2022

It is really good, every mentioned aspect explained in detail. There are 2 Jupyter Notebook for each week which supports the implementation skills. Also whole process was very smooth, I realize that I completed course when I see congratulations pop up.

par Tibor K

â€¢11 sept. 2020

It was really refreshing to watch the recommended methods, but I think I have found a much better method for time series forecasting. In the next days I will compare what I have learned here with what I did by myself using Koopman operator based methods.

par PRANAV S D

â€¢3 oct. 2019

The concepts from Deep Learning specialization by Prof. Andrew has explained well here for Keras. I expected graded programming assignments from scratch. Similar material you can find on internet but here it is very well compiled, organized, authentic.

par Petyo P

â€¢17 avr. 2020

LOVE IT!

This course was a great investent of time and money. It was time efficient and gave a lot of information. I am fully motivated now to go into the Deep Learnign Specialization and to participate in futura specializations from these instructors.

par Rehan U

â€¢12 mai 2020

It's been a spectacular specialization with lots of hands-on practice. This Specialization has been one-stop for all the things to learn from TensorFlow.

Thanks to Laurence and AndrewðŸ¤—.

Looking forward for learn more exciting things from youâœŒâœŒ

par Ibrahim O

â€¢3 sept. 2019

It has been a great time putting time into this specialization there is still more to learn which I know you guys will always try your best to release more courses that will comprehend what we've learned in this specialization.

Thank you all.

par Louis C

â€¢13 aoÃ»t 2021

Very clear explanations, no useless content, esay to use notebooks and a focus on practical implementation and use which is appreciated.

What's more, links to more theoretical content is provided, which gives a nice complement to the course.

par Alfredo C

â€¢9 mai 2021

Explanations are quite clear, and the examples are useful to understand how to apply different concepts. This course is helpful, after taking courses on deep learning and being familiar with concepts like LSTM, CNN, dense layers, and so on.

par MD. A K A

â€¢5 mai 2020

This course helped me to learn Time Series in the same way a machine learns from data. Without having much theoretical knowledge, now I can run basic models. Thanks a lot to deeplearning.ai team for proving such a practical oriented course.

par Tharindu B A

â€¢15 aoÃ»t 2019

This course is amazing and above my expectations! Very good exercises, good speed, well communicated. The instructor made me feel very comfortable and was able to take many things away. Excellent content and very knowledgeable instructor!

par Carlos V

â€¢6 oct. 2019

Fantastic explanations and techniques to use CNN and RNN to predict time series, I learned quite a lot by taking this course thanks very much to everyone at Coursera, Google and DeepLearning.AI that contributed to this excellent content.

par Yanyun H

â€¢13 mai 2020

Awesome course and amazing introduction to the time series predication using machine learning. Look forward to future more courses into more complex data scenarios. One of the best instructors I've had on Coursera. Thank you, Laurence.

par Priyank S

â€¢9 nov. 2020

This course provided an idea about the time series analysis with DNN's, LSTM's and CNN's which is a full package in learning neural networks. Instructors were very good and explained each and every code very thoroughly. Thank you !!

par Nitish T

â€¢3 oct. 2019

The best introductory course on Sequence Models. I was intimidated by this topic before taking this course. Now, after training LSTMs and RNNs by hand, I am more comfortable. Thanks to Lawrence and Andrew for such a great course.

par Ali A B

â€¢24 juin 2022

It is amazing! If you want to know how sequnces and time sereis are implemented in tensorflow it is so vital for you to take the course. The course started with a simple example and then the example developed through the course.

par Ourania S

â€¢16 janv. 2021

It is really excited this course with so many nice different topics! Thanks a lot Laurence and Andrew for all your effort you have put on this course and moreover many thanks for transferring your knowledge in such an enjoy way!

par Pavan Y

â€¢30 juin 2020

after taking Andrew's Deep Learning, this course is a logical step in two sense: 1. you can practice more 2. you do not need to write everything that are already output there through packages like TensorFlow. Excellent course!

par Zeeshan A

â€¢25 juin 2020

The specialization covers brief introduction to the concepts of Computer Vision and Natural Language Processing. It introduces to TensorFlow and gives a hands-on practical experience over the tool through simple assignments.

par Gaurav P

â€¢22 juin 2020

One of the best Specialization Courses In Coursera, Thank You so much Laurence for creating such a wonderful course and being such a awesome mentor and Thanks to Andrew too!! :) Looking forward to more such amazing courses.

par Daniel E

â€¢7 aoÃ»t 2019

The specialization was packed with best practice fundamentals and I appreciated the explanations and lab work. My only concern is the lack of business focused problem sets that might bring us more up to speed with industry.

- Analyste de donnÃ©es Google
- Gestion de projet Google
- Conception d'expÃ©rience utilisateur Google
- Google IT Support
- Science des donnÃ©es IBM
- Analyste de donnÃ©es d'IBM
- Analyse des donnÃ©es IBM avec Excel et R
- Analyste de cybersÃ©curitÃ© d'IBM
- IngÃ©nierie des donnÃ©es IBM
- DÃ©veloppeur(euse) Cloud Full Stack IBM
- Marketing appliquÃ© au rÃ©seau social Facebook
- Analyse marketing sur Facebook
- Sales Development Representative Salesforce
- OpÃ©rations de ventes Salesforce
- ConnaÃ®tre la comptabilitÃ© sur le bout des doigts
- PrÃ©paration Ã la certification Google CloudÂ : architecte de Cloud
- PrÃ©paration Ã la certification Google CloudÂ : ingÃ©nieur(e) en donnÃ©es sur Cloud
- Lancez votre carriÃ¨re
- PrÃ©parez-vous pour obtenir un certificat
- Faire progresser votre carriÃ¨re

- cours gratuits
- Apprendre une langue
- python
- Java
- conception web
- SQL
- Cursos Gratis
- Microsoft Excel
- Gestion de projet
- CybersÃ©curitÃ©
- Ressources humaines
- Cours gratuits en Science de donnÃ©es
- parler anglais
- RÃ©daction de contenu
- DÃ©veloppement Web Full Stack
- Intelligence artificielle
- Programmation en C
- CompÃ©tences en communication
- Blockchain
- Voir tous les cours

- CompÃ©tences pour les Ã©quipes en charge de la science de donnÃ©es
- Prise de dÃ©cisions basÃ©es sur les donnÃ©es
- CompÃ©tences en gÃ©nie logiciel
- CompÃ©tences personnelles pour les Ã©quipes d'ingÃ©nieurs
- CompÃ©tences en gestion
- CompÃ©tences en marketing
- CompÃ©tences pour les Ã©quipes en charge des ventes
- CompÃ©tences en gestion de produits
- CompÃ©tences en finance
- Cours populaires de science des donnÃ©es au Royaume-Uni
- Beliebte Technologiekurse in Deutschland
- Certifications populaires en cybersÃ©curitÃ©
- Certifications populaires en informatique
- Certifications SQL populaires
- Guide de carriÃ¨re de responsable marketing
- Guide de carriÃ¨re de chef de projet
- CompÃ©tences de programmation en Python
- Guide de carriÃ¨re de dÃ©veloppeur Web
- CompÃ©tences d'analyste de donnÃ©es
- CompÃ©tences pour un concepteur UX

- Certificats MasterTrackÂ®
- Certificats Professionnels
- Certificats d'universitÃ©
- MBA & diplÃ´mes commerciaux
- DiplÃ´mes en science des donnÃ©es
- DiplÃ´mes en informatique
- DiplÃ´mes en analyse des donnÃ©es
- DiplÃ´mes de santÃ© publique
- DiplÃ´mes en sciences sociales
- DiplÃ´mes en gestion
- DiplÃ´mes des meilleures universitÃ©s europÃ©ennes
- Masters
- Licences
- DiplÃ´me avec un Parcours de performance
- Cours de BSc
- Qu'est-ce qu'une licenceÂ ?
- Combien de temps dure un MasterÂ ?
- Un MBA en ligne vaut-il le coupÂ ?
- 7Â faÃ§ons de payer ses Ã©tudes supÃ©rieures
- Voir tous les certificats