Polish NEWS

Author: t-kalinowski

NEWS.md

@@ -9,43 +9,43 @@
 
 - Added compatibility with Keras v3.4.1 (no R user facing changes).
 
-User facing changes with upstream Keras v3.4.0:
-
-- New function:
-  - `op_argpartition()`
-  - `op_map()`
-  - `op_scan()`
-  - `op_switch()`
-  - `op_dtype()`
-  - `op_lstsq()`
-  - `op_image_hsv_to_rgb()`
-  - `op_image_rgb_to_hsv()`
-
-- Changes:
-  - Added support for arbitrary, deeply nested input/output structures in 
-    Functional models  (e.g. lists of lists of lists of inputs or outputs...)
-  - Add support for `optional` Functional inputs.
-    - `keras_input()` gains an `optional` argument.
-    - `keras_model_sequential()` gains a `input_optional` argument.
-  - Add support for `float8` inference for `Dense` and `EinsumDense` layers.
-  - Enable `layer_feature_space()` to be used in a `{tfdatasets}` pipeline even 
-    when the backend isn't TensorFlow.
-  - `layer_string_lookup()` can now take `tf$SparseTensor()` as input.
-  - `layer_string_lookup()` returns `"int64"` dtype by default in more modes now.
-  - `Layer()` instances gain attributes `path` and `quantization_mode`.
-  - `Metric()$variables` is now recursive.
-  - Add `training` argument to `Model$compute_loss()`.
-  - `split_dataset()` now supports nested structures in dataset.
-  - All applications gain a `name` argument, accept a custom name.
-  - `layer_multi_head_attention()` gains a `seed` argument.
-  - All losses gain a `dtype` argument.
-  - `loss_dice()` gains an `axis` argument.
-  - `op_ctc_decode()`, new default for `mask_index = 0`
-  - All `op_image_*` functions now use default `data_format` value
-    to `config_image_data_format()`
-  - `op_isclose()` gains arguments `rtol`, `atol`, `equal_nan`.
-  - `save_model()` gains argument `zipped`.
-  - Bugs fixes and performance improvements.
+- Added compatibility with Keras v3.4.0. User facing changes:
+
+  - New functions:
+    - `op_argpartition()`
+    - `op_map()`
+    - `op_scan()`
+    - `op_switch()`
+    - `op_dtype()`
+    - `op_lstsq()`
+    - `op_image_hsv_to_rgb()`
+    - `op_image_rgb_to_hsv()`
+
+  - Changes:
+    - Added support for arbitrary, deeply nested input/output structures in
+      Functional models  (e.g. lists of lists of lists of inputs or outputs...)
+    - Add support for `optional` Functional inputs.
+      - `keras_input()` gains an `optional` argument.
+      - `keras_model_sequential()` gains a `input_optional` argument.
+    - Add support for `float8` inference for `Dense` and `EinsumDense` layers.
+    - Enable `layer_feature_space()` to be used in a `{tfdatasets}` pipeline even
+      when the backend isn't TensorFlow.
+    - `layer_string_lookup()` can now take `tf$SparseTensor()` as input.
+    - `layer_string_lookup()` returns `"int64"` dtype by default in more modes now.
+    - `Layer()` instances gain attributes `path` and `quantization_mode`.
+    - `Metric()$variables` is now recursive.
+    - Add `training` argument to `Model$compute_loss()`.
+    - `split_dataset()` now supports nested structures in dataset.
+    - All applications gain a `name` argument, accept a custom name.
+    - `layer_multi_head_attention()` gains a `seed` argument.
+    - All losses gain a `dtype` argument.
+    - `loss_dice()` gains an `axis` argument.
+    - `op_ctc_decode()`, new default for `mask_index = 0`
+    - All `op_image_*` functions now use default `data_format` value
+      to `config_image_data_format()`
+    - `op_isclose()` gains arguments `rtol`, `atol`, `equal_nan`.
+    - `save_model()` gains argument `zipped`.
+    - Bugs fixes and performance improvements.
 
 # keras3 1.0.0