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What is Neural Network Design Steps Explained about?
The 9 steps for developing a neural network model are: 1) Initialization, 2) Data generation, 3) Train-test splitting, 4) Neural net construction, 5) Propagation, 6) Back-propagation, 7) Iterative optimization, and 8) Testing. The key steps involve generating unique data, splitting it for training and testing, constructing and connecting the neural network layers, propagating data through the network, and iteratively optimizing and testing the model.
- Author
- aks
- Language
- EN