“Create a neural network diagram for weekly demand forecasting with 12 weeks of sales, price, and promotion inputs, a 64-unit LSTM, a 32-unit ReLU layer, and a next-week unit forecast.”
Read the decisions behind it.
Include twelve recent weeks of demand context.
Use an LSTM for ordered weekly inputs.
State the next-week target clearly.
Use this model overview for a sequence forecast that combines past sales with commercial signals such as price and promotions.
Other examples in this family.
Common questions
What is an LSTM?
A long short-term memory network is a recurrent neural-network layer designed to retain useful information across a sequence.
Why include promotions?
Promotions can change demand sharply, so including them helps the model separate promotion effects from baseline sales.
What is a forecast horizon?
It is the future period the model predicts, such as the next week or the next four weeks.