First using of RNN
Good Ilustration for understanding the RNN method.
The algorithem will use Simple RNN and LSTM.
Using Sin Function and trying to forcast the results,
while using a finit length of the function.
Data Release: Advance Monthly Sales for Retail and Food Services Units: Millions of Dollars, Not Seasonally Adjusted
Goal: Forcasting the future Monthly Sales for Retail and Food Services.
Frequency: Monthly
The value for the most recent month is an advance estimate that is based on data from a subsample of firms from the larger Monthly Retail Trade Survey. The advance estimate will be superseded in following months by revised estimates derived from the larger Monthly Retail Trade Survey. The associated series from the Monthly Retail Trade Survey is available at https://fred.stlouisfed.org/series/MRTSSM448USN
Information about the Advance Monthly Retail Sales Survey can be found on the Census website at https://www.census.gov/retail/marts/about_the_surveys.html
Suggested Citation: U.S. Census Bureau, Advance Retail Sales: Clothing and Clothing Accessory Stores [RSCCASN], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RSCCASN, November 16, 2019.