# via
    #   -r requirements.in
    #   keras-nightly
idna==3.7 \
    --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
    --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
    # via requests
jax==0.4.7 \
    --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8
    # via -r requirements.in
keras-nightly==3.0.4.dev2024021403 \

    --hash=sha256:f47619d978ab1ae7dfdc4052ea97c636c6263e1f19bd1be0e42c346b98d15ff4
    # via
    #   jax
    #   keras-nightly
namex==0.0.7 \
    --hash=sha256:84ba65bc4d22bd909e3d26bf2ffb4b9529b608cb3f9a4336f776b04204ced69b \
    --hash=sha256:8a4f062945f405d77cb66b907f16aa2fd83681945e998be840eb6c4154d40108
    # via keras-nightly
numpy==1.23.5 ; python_version <= "3.11" \

    # via
    #   -r requirements.in
    #   keras-nightly
idna==3.7 \
    --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
    --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
    # via requests
jax==0.4.7 \
    --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8
    # via -r requirements.in
keras-nightly==3.0.4.dev2024021403 \

                .build();
        DefaultMavenExecutionRequest mer = new DefaultMavenExecutionRequest();
        DefaultMavenExecutionResult meres = new DefaultMavenExecutionResult();
        MavenSession ms = new MavenSession(rss, mer, meres);
        DefaultSession session = new DefaultSession(
                ms,
                repositorySystem,
                Collections.emptyList(),

*   Keras 3.0 will be the default Keras version. You may need to update your
    script to use Keras 3.0.

*   Please refer to the new Keras documentation for Keras 3.0
    (https://keras.io/keras_3).

*   To continue using Keras 2.0, do the following.

*   1.  Install tf-keras via pip install tf-keras~=2.16

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment

    # via
    #   -r requirements.in
    #   keras-nightly
idna==3.7 \
    --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
    --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
    # via requests
jax==0.4.7 \
    --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8
    # via -r requirements.in
keras-nightly==3.0.4.dev2024021403 \

!!! info
     Las ilustraciones fueron creados por <a href="https://www.instagram.com/ketrinadrawsalot" class="external-link" target="_blank">Ketrina Thompson</a>. 🎨

---

Imagina que eres el sistema / programa 🤖 en esa historia.

        "//third_party/py/cloud_ml_autoflow/...",
        "//third_party/py/envlogger/...",
        "//third_party/py/gldm/...",
        "//third_party/py/guesslang/...",
        "//third_party/py/keras/...",
        "//third_party/py/tf_keras/...",
        "//third_party/yggdrasil_decision_forests/...",
        "//waymo/accelerator/...",
        "//waymo/ml/cn/...",
        "//waymo/ml/models/...",
    ],
)

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Özet

Özetlemek gerekirse, parametrelerin, gövdenin, vb. veri tiplerini fonksiyon parametreleri olarak **bir kere** tanımlıyoruz.

Bu işlemi standart modern Python tipleriyle yapıyoruz.

Yeni bir sözdizimi yapısını, bir kütüphane özel metod veya sınıfları öğrenmeye gerek yoktur.