Sequences, Time Series and Prediction

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Below are the top discussions from Reddit that mention this online Coursera course from DeepLearning.AI.

Offered by DeepLearning.AI. If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to ... Enroll for free.

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Taught by
Laurence Moroney
and 10 more instructors

Offered by

Reddit Posts and Comments

0 posts • 3 mentions • top 3 shown below

r/deeplearning • comment
1 points • Blasket_Basket

Short answer is yes, you can use Conv layers in a model for regression. However, to do this, you’ll need to process the data differently. Time series data means that information is contained in the order of the data points, but just the data points themselves. To capture this, you’ll either need to use Sequence Model (think RNN/LSTM/GRU), or chop up the data into labeled subsequences.

There’s a great, lightweight course about how to do this by Lawrence Moroney and Andrew Ng on Coursera. Courses are free for the first 7 days, and I don’t believe you get charged if you finish the course before those 7 days are up. I’ve been through this course, and you can do the entire thing in about 3-4 hours in total. The code samples from this are all you need, and the videos explaining the additional preprocessing come with working notebooks that’ll make this a cinch for you. The final model it has you build uses Conv layers and LSTM layers.

r/deeplearning • post
2 points • etmhpe
Is anyone able to access the "Sequences, Time Series and Prediction" course?

I am just trying to audit the course on Coursera - here is the link

When I click "Enroll for Free" and click the "Audit" link in the popup nothing happens. Usually it takes you to the course home after you click "audit". This happening for anyone else?

r/tensorflow • post
2 points • JonathanSum777
I still do not understand this person's saying.

We were doing a time series forecasting.