Help protect the Great Barrier Reef with TensorFlow on Kaggle

# tfa.activations.sparsemax

Sparsemax activation function.

For each batch $i$, and class $j$, compute sparsemax activation function:

$$\mathrm{sparsemax}(x)[i, j] = \max(\mathrm{logits}[i, j] - \tau(\mathrm{logits}[i, :]), 0).$$

#### Usage:

x = tf.constant([[-1.0, 0.0, 1.0], [-5.0, 1.0, 2.0]])
tfa.activations.sparsemax(x)
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=
array([[0., 0., 1.],
       [0., 0., 1.]], dtype=float32)>


logits A Tensor.
axis int, axis along which the sparsemax operation is applied.

A Tensor, output of sparsemax transformation. Has the same type and shape as logits.

ValueError In case dim(logits) == 1.

[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]