ColaColin

package logsoftmax;


import org.nd4j.linalg.activations.BaseActivationFunction;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.impl.transforms.Exp;
import org.nd4j.linalg.api.ops.impl.transforms.Log;
import org.nd4j.linalg.api.ops.impl.transforms.OldSoftMax;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.primitives.Pair;

ColaColin

	@Override
	public INDArray getActivation(INDArray logits, boolean training) {
		
		// implement 
		// logits - log(sum(exp(logits))
		
		// expect logits to have dimensions: batch x classes
		
		INDArray copy = logits.dup();
		Nd4j.getExecutioner().execAndReturn(new Exp(copy));

ColaColin

# -*- coding: utf-8 -*-

import numpy as np
from keras.models import Model
from keras.layers import Input
from keras.layers.core import Dense
import keras.backend as K
from keras.optimizers import RMSprop

learn_rate = 0.00005

ColaColin

			var hashOrder = function(positions, units) {
				var hash = 0;
				var rotator = 0;
				for (var i = 0; i < positions.length; i++) {
					rotator += 3;
					rotator = rotator % 24;
					hash = hash ^ (positions[i] << rotator);
				}
				
				var l = Math.min(units.length, 100);

ColaColin

			var hashOrder = function(positions, units) {
				var hash = 0;
				
				for (var i = 0; i < positions.length; i++) {
					hash = (hash << 1 | hash >>> 31) ^ positions[i];
				}
				
				var l = Math.min(units.length, 100);
				for (var i = 0; i < l; i++) {
					hash = (hash << 1 | hash >>> 31) ^ units[i];

ColaColin

			var hashOrder = function(positions, units) {
				var hash = 0;
				
				for (var i = 0; i < positions.length; i++) {
					hash = (hash << 1 | hash >> 31) ^ positions[i];
				}
				
				var l = Math.min(units.length, 100);
				for (var i = 0; i < l; i++) {
					hash = (hash << 1 | hash >> 31) ^ units[i];

ColaColin

var normalizeVec = function(pos) {
	var l = Math.sqrt(pos[0]*pos[0] + pos[1]*pos[1] + pos[2]*pos[2]);
	return [(pos[0]/l), (pos[1]/l), (pos[2]/l)];
}; 
 
var addVec = function(a, b) {
	return [a[0] + b[0], a[1] + b[1], a[2] + b[2]];
};

var scaleVec = function(a, s) {

ColaColin

(function() {
	$('.div_build_item').not('#bld1').remove();
	$('.div_build_bar_cont').css({
	  'max-width': '251px',
	//'min-width': '189px',     // Set at 3 items wide, so the build-tab doesn't fuck up so much when there's 1 or 2 build options.
	  'width': 'auto',
	  'vertical-align': 'bottom',
	});
	$('.div_build_bar_menu_cont > div').css({
	  'padding': '0px 0px 1px 0px',