I have a general question WHY one might use a CNN rather than LSTM for time series sequence data? I have seem some CNN implementations for financial time series.
Is LSTM always preferred as it’s more flexible than CNN for handling time series data? Or do CNN have additional benefits in capturing other dimensional features?
Also, am I correct to say the use of skip connections on CNN is similar to using Cell memory LSTM process. But maybe LSTM has a more flexible updating process.
Thanks in Advance, Jason