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.



Sequences, Time Series and Prediction
This course is part of DeepLearning.AI TensorFlow Developer Professional Certificate

Instructor: Laurence Moroney
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145,145 already enrolled
(5,109 reviews)
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What you'll learn
Solve time series and forecasting problems in TensorFlow
Prepare data for time series learning using best practices
Explore how RNNs and ConvNets can be used for predictions
Build a sunspot prediction model using real-world data
Skills you'll gain
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There are 4 modules in this course
Hi Learners and welcome to this course on sequences and prediction! In this course we'll take a look at some of the unique considerations involved when handling sequential time series data -- where values change over time, like the temperature on a particular day, or the number of visitors to your web site. We'll discuss various methodologies for predicting future values in these time series, building on what you've learned in previous courses!
What's included
10 videos7 readings1 assignment1 programming assignment2 ungraded labs
Having explored time series and some of the common attributes of time series such as trend and seasonality, and then having used statistical methods for projection, let's now begin to teach neural networks to recognize and predict on time series!
What's included
10 videos2 readings1 assignment1 programming assignment3 ungraded labs
Recurrent Neural networks and Long Short Term Memory networks are really useful to classify and predict on sequential data. This week we'll explore using them with time series...
What's included
8 videos4 readings1 assignment1 programming assignment2 ungraded labs
On top of DNNs and RNNs, let's also add convolutions, and then put it all together using a real-world data series -- one which measures sunspot activity over hundreds of years, and see if we can predict using it.
What's included
11 videos9 readings1 assignment1 programming assignment2 ungraded labs
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Reviewed on May 22, 2021
taking this course was undoubtedly a better idea than endless scans over tensorflow documentation and other books. I am glad I got to do this course, wish I had taken this up earlier
Reviewed on Jun 4, 2020
Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.
Reviewed on Jan 14, 2021
Good introduction to time series (or a recap). Much more applied than the previous courses. If considering only 1 of the courses in this specialization I would do the time series one!
Recommended if you're interested in Data Science

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