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

# tensorflow :: opérations :: Relu

`#include <nn_ops.h>`

Calcule linéaire rectifié: `max(features, 0)` .

## Résumé

Voir: https://en.wikipedia.org/wiki/Rectifier_(neural_networks) Exemple d'utilisation: tf.nn.relu ([- 2., 0., -0., 3.]). Numpy () array ([ 0., 0., -0., 3.], dtype = float32)

Arguments:

Retour:

• `Output` : Le tenseur des activations.

### Constructeurs et destructeurs

`Relu (const :: tensorflow::Scope & scope, :: tensorflow::Input features)`

### Attributs publics

`activations`
`:: tensorflow::Output`
`operation`
`Operation`

### Fonctions publiques

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

## Attributs publics

### activations

`::tensorflow::Output activations`

### opération

`Operation operation`

## Fonctions publiques

### Relu

``` Relu(
const ::tensorflow::Scope & scope,
::tensorflow::Input features
)```

### nœud

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

### operator :: tensorflow :: Input

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

### operator :: tensorflow :: Output

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