June 8, 2024, 10:18 p.m. | Super Kai (Kazuya Ito)

DEV Community dev.to


  1. Prepare data.

  2. Prepare (untrained) model.

  3. Train model.

  4. Evaluate model.

  5. Save model.





1. Prepare data.



  1. Get data like images, video, sound, text, etc.

  2. Divide the data into the one for training(Train data) and the one for testing(Test data). *Basically, train data is 80% and test data is 20%.





2. Prepare (untrained) model.



  1. Select the suitable layers activation function for the data.

  2. Select the activation function for the data if necesarry.





3. Train model.



  1. Select the suitable loss(cost) …

data deep learning deeplearning development etc images pytorch save sound test testing text train training video workflow

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