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How to plan a machine learning problem
When building a new neural network, I recommend following the same basic steps every time.
Deep neural networks can get very complicated, very quickly. A little bit of planning and organization and greatly accelerate your workflow!
The following are the steps for building a deep neural network:
- Outline the problem you're trying to solve.
- Identify the inputs and outputs of the model.
- Choose a cost function and metrics.
- Create an initial network architecture.
- Train and tune the network.