From bb5350591f5f9d84fbc1397da7aea7bd6d54c3a6 Mon Sep 17 00:00:00 2001 From: Dhairya Gandhi Date: Mon, 2 Mar 2020 12:42:33 +0530 Subject: [PATCH] cleanup --- docs/src/training/training.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/src/training/training.md b/docs/src/training/training.md index 153d0278..3775f5ba 100644 --- a/docs/src/training/training.md +++ b/docs/src/training/training.md @@ -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. -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). ## Datasets