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Learner Reviews & Feedback for Sequences, Time Series and Prediction by DeepLearning.AI

4.6
stars
3,659 ratings
595 reviews

About the Course

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....

Top reviews

OR
Aug 3, 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
Jun 6, 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 - 594 of 594 Reviews for Sequences, Time Series and Prediction

By Andrei I

Feb 13, 2021

The course is merely a walk-through some Jupiter notebooks of Laurence. There are no proper slides with explanation of what's going on. I also don't see much activity from the course creators on the discussion forums. It is incredibly easy to complete the course without forming any deep understanding.

The weekly programming exercises are not even automatically checked for accuracy.

By Ebdulmomen A

Sep 26, 2020

quiz's are pathetic! throughout the whole course the instructor talks about the advantages of RNN and LSTM and CNNs for time series prediction while not being able to prove this not even for one in the entire course, what a disappointment !

By Kaushal T

Aug 5, 2019

The course was not as detailed or in a flow like I expected from a deeplearning.ai course and the editing was also very bad, one thing was shown and something else was spoken.

By Victor H

Sep 11, 2019

A bit too high-level with lacking explanation on intuition. E.g. Conv1D was added to LSTM layers which helped reduce loss value, but did not go into the explanation of why.

By Tomasz D

Feb 29, 2020

Course is very quick and does not cover the topics in sufficient depth - explanations and discussion are all very brief.

By Yevhen D

Feb 13, 2021

This course will be good only for very beginners. It's not deep and challenging enough.

By Sergey K

Oct 22, 2020

To make it better you have to develop more challenging and GRADED! exercises

By Sujin S

Oct 5, 2019

Poor audio quality.. Cant even hear in full volume

By Gabor S

Jun 25, 2020

Very bad quizzes, no challenge whatsoever.

By Bojiang J

Mar 12, 2020

Too much repetition in the content.

By Ankit G

May 21, 2020

Could have been better

By Magdalena S

Mar 30, 2020

Too easy.

By Xiaotian Z

Nov 25, 2020

I do hope that the deeplearning.ai team could spend more time polishing the materials instead of just throwing the Tensorflow docs/sample codes and going through them superficially. Please also change the instructor as I really doubt his professionalism/experiences in ML practices despite his titles. Please, please don't ruin your brand, deeplearning.ai. I wish to see more in-depth courses like the ones taught by Andrew.

By Brad N

Sep 21, 2020

The last two parts of this 'specialization' were pretty much useless. Here's some code, let's look at the code three times, let's take a kindergarten quiz, let's look at the same code again, here's the answer you can copy if you bother doing the exercise.

By Yanghao W

Feb 17, 2021

This is a quick introduction of using TensorFlow for prediction without any explanation for helping students understand the codes, the rationale, and the technical details we need to know for doing practice in daily work.

By sukanya n

Sep 23, 2020

Gives a very shallow understanding. You can easily pass the quizzes without even needing to go through the colab code notebooks. This is unfortunately quite a good example of 'money can buy you a certificate'.

By Sidharth N

Aug 4, 2020

Extremely shallow ML course, with certain videos showing nothing more than running a few code snippets. More depth and explanation could go very far in improving the overall experiece

By Arun A

Aug 6, 2020

Really disappointment. Wonder what is purpose. After few videos it seemed like synthetic data is created just to create course. Lost interest very quickly

By Maged A

Nov 18, 2020

Extremely shallow. It's just to have an initial idea but not in depth.