@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
There is a kind of Neural Network that can be very useful to forecast Time Series data. These are called Recurrent Neural Networks or RNN. This type of neural network are especially designed to process sequential data, where the order of the data points is crucial, like Timeโ€ฆ
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@levikul09
Levi
11 months
@daansan_ml Wow, excellent visuals.
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@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
@levikul09 Thanks! It wasn't easy to create them ๐Ÿ˜…
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@DanielK_phd
Daniel, PhD ๐ŸŽ“
11 months
@daansan_ml interesting
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@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
@DanielK_phd ๐Ÿ˜‰๐Ÿ˜‰
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@tinztwins
Tinz Twins
11 months
@daansan_ml Great overview. ๐Ÿ˜‰๐Ÿ˜‰
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@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
@tinztwins Thank you twins! ๐Ÿ™‚
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@siddddhesh
Sid ๐Ÿš€
11 months
@daansan_ml Great share David ๐Ÿ‘
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@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
@siddddhesh Thanks Sid!
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@avikumart_
Avi Kumar Talaviya
11 months
@daansan_ml LSTM and GRU cell design is superb, I must say๐Ÿ’ฏ๐Ÿ’ฏ
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@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
@avikumart_ ๐Ÿ™‚๐Ÿ™‚
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@lawrence0321bk
Lawrence
11 months
@daansan_ml Excuse me. Is it appropriate to apply RNN to time series data which is not stationary?
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@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
@lawrence0321bk It is not a requirement, however, if your data is stationary, it will help with better performance and make it easier for the neural network to learn ๐Ÿ˜‰
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@NainaChaturved8
Naina Chaturvedi
11 months
@daansan_ml ++ time series analysis and forecasting with projects -
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@daansan_ml
David Andrรฉs ๐Ÿค–๐Ÿ“ˆ๐Ÿ
11 months
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@chris_oningo
Acornsurvey
11 months
@daansan_ml Great. I am currently working on a time series project. I am using LSTM for predicting. I do hope I will enjoy the ride.
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