Aide à protéger la Grande barrière de corail avec tensorflow sur Kaggle

# tensorflow :: opérations :: Log1p

`#include <math_ops.h>`

Calcule le logarithme naturel de (1 + x) élément par élément.

## Résumé

Ie, \(y = (1 + x)\).

Exemple:

```x = tf.constant([0, 0.5, 1, 5])
tf.math.log1p(x) ==> [0., 0.4054651, 0.6931472, 1.7917595]
```

Arguments:

Retour:

• `Output` : le tenseur y.

### Constructeurs et destructeurs

`Log1p (const :: tensorflow::Scope & scope, :: tensorflow::Input x)`

### Attributs publics

`operation`
`Operation`
`y`
`:: tensorflow::Output`

### Fonctions publiques

`node () const`
`::tensorflow::Node *`
`operator::tensorflow::Input () const`
`operator::tensorflow::Output () const`

## Attributs publics

### opération

`Operation operation`

### y

`::tensorflow::Output y`

## Fonctions publiques

### Log1p

``` Log1p(
const ::tensorflow::Scope & scope,
::tensorflow::Input x
)```

### nœud

`::tensorflow::Node * node() const `

### operator :: tensorflow :: Input

` operator::tensorflow::Input() const `

### operator :: tensorflow :: Output

` operator::tensorflow::Output() const `
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