public static KerasSymbol Softmax(KerasSymbol x, int axis = -1)
{
var ndim = K.NDim(x);
if (ndim == 2)
{
return(K.Softmax(x));
}
else if (ndim > 2)
{
var e = K.Exp(x - K.Max(x, axis: axis, keepdims: true));
var s = K.Sum(e, axis: axis, keepdims: true);
return(e / s);
}
else if (ndim == 0)
{
// x dim is not inferred yet
return(K.Softmax(x));
}
else
{
throw new Exception($"Cannot apply softmax to a tensor that is 1D. Received input: {x}");
}
}
public static KerasSymbol Exponential(KerasSymbol x)
{
return(K.Exp(x));
}