I know what Java Double.NaN is. I have some Java code that produces NaN.
// calculate errors
delta = m1 + m2 - M;
eta = f1 + f2
NaN is triggered by the following occurrences:
Sorry for such a general answer, but I hope that helped.
According to Wikipedia:
There are three kinds of operation which return
NaN:
- Operations with a
NaNas at least one operand- Indeterminate forms
- The divisions 0/0, ∞/∞, ∞/−∞, −∞/∞, and −∞/−∞
- The multiplications 0×∞ and 0×−∞
- The power 1∞
- The additions ∞ + (−∞), (−∞) + ∞ and equivalent subtractions.
- Real operations with complex results:
- The square root of a negative number
- The logarithm of a negative number
- The tangent of an odd multiple of 90 degrees (or π/2 radians)
- The inverse sine or cosine of a number which is less than −1 or greater than +1.
This Java snippet illustrates all of the above, except the tangent one (I suspect because of limited precision of double):
import java.util.*;
import static java.lang.Double.NaN;
import static java.lang.Double.POSITIVE_INFINITY;
import static java.lang.Double.NEGATIVE_INFINITY;
public class NaN {
public static void main(String args[]) {
double[] allNaNs = {
0D/0D,
POSITIVE_INFINITY / POSITIVE_INFINITY,
POSITIVE_INFINITY / NEGATIVE_INFINITY,
NEGATIVE_INFINITY / POSITIVE_INFINITY,
NEGATIVE_INFINITY / NEGATIVE_INFINITY,
0 * POSITIVE_INFINITY,
0 * NEGATIVE_INFINITY,
Math.pow(1, POSITIVE_INFINITY),
POSITIVE_INFINITY + NEGATIVE_INFINITY,
NEGATIVE_INFINITY + POSITIVE_INFINITY,
POSITIVE_INFINITY - POSITIVE_INFINITY,
NEGATIVE_INFINITY - NEGATIVE_INFINITY,
Math.sqrt(-1),
Math.log(-1),
Math.asin(-2),
Math.acos(+2),
};
System.out.println(Arrays.toString(allNaNs));
// prints "[NaN, NaN...]"
System.out.println(NaN == NaN); // prints "false"
System.out.println(Double.isNaN(NaN)); // prints "true"
}
}
If either operand is
NaN, then the result of==isfalsebut the result of!=istrue. Indeed, the testx!=xistrueif and only if the value ofxisNaN. (The methodsFloat.isNaNandDouble.isNaNmay also be used to test whether a value isNaN.)
Given what I know about gradient descent, you are most probably jumping out to infinity because you do not have adaptive rate (i.e. your rate is too big).
Have you tried sprinkling your code with System.out.println statements to determine exactly where NaNs start occuring?