A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation on Dataset

What is the first step in starting a model according to the text?

What type of layer is suggested to be added first in the model?

What is the purpose of a dropout layer in the model?

How is the number of neurons in the dense layer determined?

What optimizer is recommended in the text?

What does the model summary provide information about?

What is the suggested validation split percentage mentioned?