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Вернуться к Sequences, Time Series and Prediction

Отзывы учащихся о курсе Sequences, Time Series and Prediction от партнера deeplearning.ai

4.7
звезд
Оценки: 4,248
Рецензии: 680

О курсе

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....

Лучшие рецензии

OR
3 авг. 2019 г.

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 июня 2020 г.

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.

Фильтр по:

151–175 из 680 отзывов о курсе Sequences, Time Series and Prediction

автор: Dr. V S S G - S

16 июня 2020 г.

This course has given me a very good insight into RNN, LSTM and BiLSTM models, their implementation for time series prediction. Excellent.

автор: Joseph O

1 июля 2020 г.

Excellent Course!

Very practical and highly informative for both beginners and experienced professional alike.

Highly recommend this course

автор: Carlos E

24 июня 2020 г.

awesome course and specialization :D. I highly recommend it to anyone that wants to gain experience building DL models with Tensorflow :)

автор: Narayana S

18 мар. 2020 г.

This course was very informational in how to build a deep learning time series model. I plan to use these techniques in my project work.

автор: Guillermo G

5 июля 2020 г.

Lawrence does a great job explaining all the concepts in this course. I think he's a really great teacher, and this is a great course.

автор: ENDANG W

28 мая 2021 г.

Thank you because with me following this lesson I can get a lot of knowledge and practice what I get by taking the quizzes provided

автор: Jéssica d S C

22 апр. 2020 г.

I don't know much more about Time Series, mainly recurrent neural networks and LSTM. This helped so much. Now, I need to practice.

автор: Lydia N

6 янв. 2020 г.

Wonderful Course splendidly and thoughtfully compiled sets of hands-on exercises and information explaining how to use TensorFlow.

автор: Ulugbek D

8 дек. 2019 г.

I love this course! Especially, how the instructor introduces ways of varying certain hyperparameters to achieve optimal results.

автор: Alex R

7 сент. 2019 г.

great teaching and content.

i would have loved a deeper explanation of the code but it forced me to 'think more'.. which is good!

автор: karli s

14 окт. 2021 г.

this course is great. this open my horizon about time series prediction. i need to learn about this for my future thesis plan.

автор: Namita k

10 июня 2020 г.

very good and interesting course that give awareness about time series sequence prediction and Deep learning tools with python

автор: Prashant P

23 авг. 2019 г.

Covers all the important techniques. Very elaborate, elegant, insightful. Thoughtfully gradual to help learn pros and cons.

автор: Kenneth F E

15 июня 2021 г.

T​hanks for the course, I enjoy a lot learning new stuff. Thanks for your time and the effort you put in all the material.

автор: Márton B

4 июня 2021 г.

I think this is a useful, understandable and practical course. I liked it. The codes in Jupyter notebooks are very good.

автор: Japman S

8 июля 2020 г.

One of the best learning experiences I've ever had. Wonderful course that blends all basics of Deeplearning in 1 course.

автор: sas8465

22 авг. 2020 г.

Incredible. Thank you! Very well explained and implemented in code. Very solid foundation to build upon and specialize.

автор: Cesar O

11 сент. 2020 г.

Great material, A lot to practice to be done. But with the concepts as clear as given here is the right path to take.

автор: Ridvan O

24 дек. 2020 г.

Laurence Moroney is one of the best instructor in Coursera. I always enjoy listening to him and learning new skills.

автор: Jorge R L

7 апр. 2020 г.

It gives you the necessary tools to understand how RNNs and other works without making it too complicated.

Thank you.

автор: Pablo G G

8 февр. 2021 г.

El termina este curso me sentí mas seguro, en aplicar los conocimiento adquirido. ¡Los profesores son excelentes!

автор: Rohan P

5 авг. 2020 г.

This course is amazing! You get to generate predictions on time series using DNNs, RNNs, LSTMs, and Convolutions!

автор: Khin R P P

4 февр. 2020 г.

Thank u for this course. But i still need learning about more time series. Hoping new lectures video coming soon.

автор: divya p p

16 сент. 2019 г.

excellent explanation and concepts on using tensorflow in real life datasets. very informative jupyter notebooks.

автор: Saif M P

21 мая 2020 г.

I really appreciate all the things Laurence has taught. Now I am really eager to dive deeper. I am not stopping!