# Release 1.1.0

## Major Features and Improvements

*   Added Java API support for Windows.
*   Added `tf.spectral` module. Moved existing FFT ops to `tf.spectral` while
    keeping an alias in the old location (`tf.*`).
*   Added 1D, 2D and 3D Fourier transform ops for real signals to `tf.spectral`.
*   Added a `tf.bincount` function.
*   Added Keras 2 API to contrib.

///

/// tip | Tips

"AlxexNet", "ResNet", dan "LeNet" adalah nama <abbr title="Secara teknis, arsitektur model Deep Learning">model</abbr> *Machine Learning*.

///

### Mendeklarasikan *parameter path*

Kemudian buat *parameter path* dengan tipe anotasi menggunakan *class* enum dari (`ModelName`)

    Spliterator<A> splitrA = streamA.spliterator();
    Spliterator<B> splitrB = streamB.spliterator();
    int characteristics =
        splitrA.characteristics()
            & splitrB.characteristics()
            & (Spliterator.SIZED | Spliterator.ORDERED);
    Iterator<A> itrA = Spliterators.iterator(splitrA);
    Iterator<B> itrB = Spliterators.iterator(splitrB);

Perintah `fastapi dev` membaca file `main.py`, memeriksa app **FastAPI** di dalamnya, dan menjalan server dengan <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>.

Secara otomatis, `fastapi dev` akan mengaktifkan *auto-reload* untuk pengembangan lokal.

Informasi lebih lanjut kunjungi <a href="https://fastapi.tiangolo.com/fastapi-cli/" target="_blank">Dokumen FastAPI CLI</a>.

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