Stock Prediction [7]: Creating the Model

Ethan Shaotran

Ethan Shaotran is an AI developer, researcher, and author of “Stock Prediction with Deep Learning.” He is the founder of Energize.AI, an informative platform on tech tutorials, future predictions, and research briefings.

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2 Responses

  1. Hiro says:

    How did you decide on the number of layers and neurons? Is it basically trial and error to see what works best?

    • Hi Hiro – Yes, the number of layers is largely based on “trial and error” – there is no golden rule on how many hidden layers a model should have. Generally, more complicated inputs require more layers – keep in mind, though, that larger models are more computationally expensive. Good luck!

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