A regularizer that encourages input vectors to be orthogonal to each other

`regularizer_orthogonal(factor = 0.01, mode = "rows", ...)`

- factor
Float. The regularization factor. The regularization penalty will be proportional to

`factor`

times the mean of the dot products between the L2-normalized rows (if`mode="rows"`

, or columns if`mode="columns"`

) of the inputs, excluding the product of each row/column with itself. Defaults to 0.01.- mode
String, one of

`{"rows", "columns"}`

. Defaults to`"rows"`

. In rows mode, the regularization effect seeks to make the rows of the input orthogonal to each other. In columns mode, it seeks to make the columns of the input orthogonal to each other.- ...
For backwards and forwards compatibility

`layer <- layer_dense( units = 4, kernel_regularizer = regularizer_orthogonal(factor = 0.01))`

It can be applied to either the rows of a matrix (`mode="rows"`

) or its
columns (`mode="columns"`

). When applied to a `Dense`

kernel of shape
`(input_dim, units)`

, rows mode will seek to make the feature vectors
(i.e. the basis of the output space) orthogonal to each other.