softmax¶
dragon.vm.tensorflow.keras.activations.
softmax
(
x,
axis=- 1,
**kwargs
)[source]¶Apply the softmax function to input.
The Softmax function is defined as:
\[\text{Softmax}(x_{i}) = \frac{\exp(x_{i})}{\sum_{j} \exp(x_{j})} \]Examples:
x = tf.constant([-1, 0, 1], 'float32') print(tf.keras.activations.softmax(x, inplace=False))
- Parameters:
- x (dragon.Tensor) – The input tensor.
- axis (int, optional, default=-1) – The axis to reduce.
- Returns:
dragon.Tensor – The output tensor.