diff --git a/docs/templates/getting-started/faq.md b/docs/templates/getting-started/faq.md index 1cceb8f68ab5d3c62075c3e2a50fad611b7dcaae..ad8c4cff41318686ad3a377862fff9e0b5076042 100644 --- a/docs/templates/getting-started/faq.md +++ b/docs/templates/getting-started/faq.md @@ -622,5 +622,5 @@ module via import h5py ``` -If it imports without error it is installed ortherwise you can find detaild +If it imports without error it is installed otherwise you can find detailed installation instructions here: http://docs.h5py.org/en/latest/build.html \ No newline at end of file diff --git a/keras/engine/topology.py b/keras/engine/topology.py index 34e372112a4f838cad5a9c27c3e6d03d99d6cbe2..71da48712f1243866c042aaa7062fab43ea637ad 100644 --- a/keras/engine/topology.py +++ b/keras/engine/topology.py @@ -1895,7 +1895,7 @@ class Container(Layer): """Retrieves the model's updates. Will only include updates that are either - inconditional, or conditional on inputs to this model + unconditional, or conditional on inputs to this model (e.g. will not include updates that depend on tensors that aren't inputs to this model). @@ -1924,7 +1924,7 @@ class Container(Layer): """Retrieves the model's losses. Will only include losses that are either - inconditional, or conditional on inputs to this model + unconditional, or conditional on inputs to this model (e.g. will not include losses that depend on tensors that aren't inputs to this model). diff --git a/tests/test_model_saving.py b/tests/test_model_saving.py index 661461eb9fbdfed59c5f387898596df1772bca0d..69761e436414a1cdc9aab36073d4463e8c340d01 100644 --- a/tests/test_model_saving.py +++ b/tests/test_model_saving.py @@ -519,7 +519,7 @@ def test_saving_model_with_long_layer_names(): os.remove(fname) - # The chunking of layer names array should have happend. + # The chunking of layer names array should have happened. assert n_layer_names_arrays > 0 out2 = model.predict(x) @@ -564,7 +564,7 @@ def test_saving_model_with_long_weights_names(): os.remove(fname) - # The chunking of layer names array should have happend. + # The chunking of layer names array should have happened. assert n_weight_names_arrays > 0 out2 = model.predict(x)