keras3 1.0.0

• Chains of layer_* calls with |> now instantiate layers in the
  same order as %>% pipe chains: left-hand-side first (#1440).

• iterate(), iter_next() and as_iterator() are now reexported from reticulate.

User facing changes with upstream Keras v3.3.3:

• new functions: op_slogdet(), op_psnr()

• clone_model() gains new args: call_function, recursive
  Updated example usage.

• op_ctc_decode() strategy argument has new default: "greedy".
  Updated docs.

• loss_ctc() default name fixed, changed to "ctc"

User facing changes with upstream Keras v3.3.2:

• new function: op_ctc_decode()

• new function: op_eigh()

• new function: op_select()

• new function: op_vectorize()

• new function: op_image_rgb_to_grayscale()

• new function: loss_tversky()

• new args: layer_resizing(pad_to_aspect_ratio, fill_mode, fill_value)

• new arg: layer_embedding(weights) for providing an initial weights matrix

• new args: op_nan_to_num(nan, posinf, neginf)

• new args: op_image_resize(crop_to_aspect_ratio, pad_to_aspect_ratio, fill_mode, fill_value)

• new args: op_argmax(keepdims) and op_argmin(keepdims)

• new arg: clear_session(free_memory) for clearing without invoking the garbage collector.

• metric_kl_divergence() and loss_kl_divergence() clip inputs
  (y_true and y_pred) to the [0, 1] range.

• new Layer() attributes: metrics, dtype_policy

• Added initial support for float8 training

• layer_conv_*d() layers now support LoRa

• op_digitize() now supports sparse tensors.

• Models and layers now return owned metrics recursively.

• Add pickling support for Keras models. (e.g., via reticulate::py_save_object())
  Note that pickling is not recommended, prefer using Keras saving APIs.