Generally, there are many time-series forecasting methods such as ARIMA, SARIMA and Holtz-winters, but with the advent of deep learning many have started using LSTM for time-series forecasting. So why do we need Conv1D-LSTM/RNN for time series? Some of the reasons that I would come up are below.

Sequence models commonly used for sentence classification.

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Let’s begin by taking a sentence: “ Today we see a beautiful blue ___?”. What could be the most appropriate word to be filled in the blank ?. “sky,” isn’t it? So when we are trying to predict the sentiment or classify sentences…

Shivapriya Katta

DataScience Enthusiast

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