### Major Features and Improvements

*   Added F-Score metrics `tf.keras.metrics.FBetaScore`, `tf.keras.metrics.F1Score`, and `tf.keras.metrics.R2Score`.
*   Added activation function `tf.keras.activations.mish`.

* * T1 = Z1*Z1 * T2 = Z2*Z2 * U1 = X1*T2 * H = X2*T1 * H = H-U1 * Z3 = Z1*Z2 * Z3 = Z3*H << store-out Z3 result reg.. could override Z1, if slices have same backing array * * S1 = Z2*T2 * S1 = Y1*S1 * R = Z1*T1 * R = Y2*R * R = R-S1 * * T1 = H*H * T2 = H*T1 * U1 = U1*T1 * * X3 = R*R * X3 = X3-T2 * T1 = 2*U1 * X3 = X3-T1 << store-out X3 result reg * * T2 = S1*T2 * Y3 = U1-X3 * Y3 = R*Y3 * Y3 = Y3-T2 << store-out Y3 result reg // X=Z1; Y=Z1; MUL; T- // T1 = Z1*Z1 // X- ; Y=T ; MUL; R=T // R = Z1*T1...

* * T1 = Z1*Z1 * T2 = Z2*Z2 * U1 = X1*T2 * H = X2*T1 * H = H-U1 * Z3 = Z1*Z2 * Z3 = Z3*H << store-out Z3 result reg.. could override Z1, if slices have same backing array * * S1 = Z2*T2 * S1 = Y1*S1 * R = Z1*T1 * R = Y2*R * R = R-S1 * * T1 = H*H * T2 = H*T1 * U1 = U1*T1 * * X3 = R*R * X3 = X3-T2 * T1 = 2*U1 * X3 = X3-T1 << store-out X3 result reg * * T2 = S1*T2 * Y3 = U1-X3 * Y3 = R*Y3 * Y3 = Y3-T2 << store-out Y3 result reg // X=Z1; Y=Z1; MUL; T- // T1 = Z1*Z1 // X- ; Y=T ; MUL; R=T // R = Z1*T1...

* ✨ Add support for dependencies with scopes, support `scope="request"` for dependencies with `yield` that exit before the response is sent. PR [#14262](https://github.com/fastapi/fastapi/pull/14262) by [@tiangolo](https://github.com/tiangolo).
    * New docs: [Dependencies with `yield` - Early exit and `scope`](https://fastapi.tiangolo.com/tutorial/dependencies/dependencies-with-yield/#early-exit-and-scope).

### Internal