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authorGravatar cheerss <zjdxwwx@163.com>2018-07-19 14:57:43 +0800
committerGravatar GitHub <noreply@github.com>2018-07-19 14:57:43 +0800
commit694dd61fcdfb2019af3e28b4151d93bdd690c94a (patch)
tree603e6b52b732ba053851782d2c6954cae7be68ea /tensorflow/docs_src
parent81161f9d9987a8eb70793d95048c20be34292859 (diff)
Update keras.md
tf.keras.models should load model configuration with `model_from_json` or `model_from_yaml`, not `from_json` or `from_yaml`
Diffstat (limited to 'tensorflow/docs_src')
-rw-r--r--tensorflow/docs_src/guide/keras.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/guide/keras.md b/tensorflow/docs_src/guide/keras.md
index 1d846df104..2330fa03c7 100644
--- a/tensorflow/docs_src/guide/keras.md
+++ b/tensorflow/docs_src/guide/keras.md
@@ -467,13 +467,13 @@ JSON and YAML serialization formats:
json_string = model.to_json()
# Recreate the model (freshly initialized)
-fresh_model = keras.models.from_json(json_string)
+fresh_model = keras.models.model_from_json(json_string)
# Serializes a model to YAML format
yaml_string = model.to_yaml()
# Recreate the model
-fresh_model = keras.models.from_yaml(yaml_string)
+fresh_model = keras.models.model_from_yaml(yaml_string)
```
Caution: Subclassed models are not serializable because their architecture is