* 🌐 Add Korean translation for `docs/ko/docs/tutorial/header-param-models.md`. PR [#13001](https://github.com/fastapi/fastapi/pull/13001) by [@hard-coders](https://github.com/hard-coders).

*   Keras compile/fit behavior for functional and subclassed models have been
    unified. Model properties such as `metrics`, `metrics_names` will now be
    available only after **training/evaluating the model on actual data** for
    functional models. `metrics` will **now include** model `loss` and output
    losses.`loss_functions` property has been removed from the model. This was

for i := 0; i < 5; i++ { y = y * (2 - x*y) } return -y } // NewModulus creates a new Modulus from a slice of big-endian bytes. The // modulus must be greater than one. // // The number of significant bits and whether the modulus is even is leaked // through timing side-channels. func NewModulus(b []byte) (*Modulus, error) { n := NewNat().resetToBytes(b) return newModulus(n) } // NewModulusProduct creates a new Modulus from the product of two numbers // represented as big-endian byte slices. The result...

for i := 0; i < 5; i++ { y = y * (2 - x*y) } return -y } // NewModulus creates a new Modulus from a slice of big-endian bytes. The // modulus must be greater than one. // // The number of significant bits and whether the modulus is even is leaked // through timing side-channels. func NewModulus(b []byte) (*Modulus, error) { n := NewNat().resetToBytes(b) return newModulus(n) } // NewModulusProduct creates a new Modulus from the product of two numbers // represented as big-endian byte slices. The result...