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Flux.jl
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cleanup

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Dhairya Gandhi 2020-03-02 12:42:33 +05:30
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docs/src/training/training.md
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@ -41,8 +41,6 @@ The model to be trained must have a set of tracked parameters that are used to c
Such an object contains a reference to the model's parameters, not a copy, such that after their training, the model behaves according to their updated values. Such an object contains a reference to the model's parameters, not a copy, such that after their training, the model behaves according to their updated values.
When it is desired to not include all the model parameters (for e.g. transfer learning), we can simply not pass in those layers into our call to `params`.
Handling all the parameters on a layer by layer basis is explained in the [Layer Helpers](../models/basics.md) section. Also, for freezing model parameters, see the [Advanced Usage Guide](../models/advanced.md). Handling all the parameters on a layer by layer basis is explained in the [Layer Helpers](../models/basics.md) section. Also, for freezing model parameters, see the [Advanced Usage Guide](../models/advanced.md).
## Datasets ## Datasets