JoostvDoorn

import CanvasHs

import CanvasHs.Data

main = installEventHandler handl 1


-- we gebruiken een simpele Int als store (maar het zou ook een record oid kunnen zijn)
handl :: Int -> Event -> (Int, Shape)
handl st StartEvent  = (st, Container 900 600 [(Event defaults{eventId="123",mouseDrag=True} (Rect (34, 34) 34 200))

JoostvDoorn

javascript:function creator(e,t,n)%7Bvar r%3Ddocument.createElement(n)%3Br.cellspacing%3D"3"%3Bvar i%3Ddocument.createTextNode(t)%3Br.appendChild(i)%3Be.appendChild(r)%7Dfunction displayData(e)%7Bvar t%3Ddocument.createElement("table")%3Bvar n%3Ddocument.createElement("thead")%3Bt.appendChild(n)%3Bvar r%3Ddocument.createElement("tr")%3Bcreator(r,"Name","th")%3Bcreator(r,"Type","th")%3Bcreator(r,"Score","th")%3Bn.appendChild(r)%3Bvar s%3Ddocument.createElement("tbody")%3Bt.appendChild(s)%3Bfor(i%3D0%3Bi<e.length%3Bi%2B%2B)%7Bvar o%3De%5Bi%5D.type%3Bvar r%3Ddocument.createElement("tr")%3Bcreator(r,e%5Bi%5D%5B"text"%5D,"td")%3Bcreator(r,Object.keys(e%5Bi%5D%5B"grammar_costs"%5D)%5B0%5D.slice(0,-1).substring(1),"td")%3Bcreator(r,e%5Bi%5D%5B"grammar_costs"%5D%5BObject.keys(e%5Bi%5D%5B"grammar_costs"%5D)%5B0%5D%5D,"td")%3Bs.appendChild(r)%7Ddocument.body.innerHTML%3D""%3Bdocument.body.appendChild(t)%7Did%3DrequireDynamic("CurrentUserInitialData")%5B"USER_ID"%5D%7C%7CrequireDynamic("CurrentUserInitialData")%5B"ACCOU

JoostvDoorn

package org.deeplearning4j.examples.regression

import org.canova.api.records.reader.RecordReader
import org.canova.api.records.reader.impl.CSVRecordReader
import org.canova.api.split.FileSplit
import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator
import org.deeplearning4j.datasets.iterator.DataSetIterator
import org.deeplearning4j.nn.api.OptimizationAlgorithm
import org.deeplearning4j.nn.conf.{ MultiLayerConfiguration, NeuralNetConfiguration }
import org.deeplearning4j.nn.conf.Updater

JoostvDoorn

package Test;

import static io.grpc.stub.ClientCalls.asyncUnaryCall;
import static io.grpc.stub.ClientCalls.asyncServerStreamingCall;
import static io.grpc.stub.ClientCalls.asyncClientStreamingCall;
import static io.grpc.stub.ClientCalls.asyncBidiStreamingCall;
import static io.grpc.stub.ClientCalls.blockingUnaryCall;
import static io.grpc.stub.ClientCalls.blockingServerStreamingCall;
import static io.grpc.stub.ClientCalls.futureUnaryCall;
import static io.grpc.MethodDescriptor.generateFullMethodName;

JoostvDoorn

local rnntest = {}
local precision = 1e-5
local mytester
local benchmark = false

local makeOldRecurrent_isdone = false


function rnntest.encoderdecoder()
   torch.manualSeed(123)

JoostvDoorn

--[[

Example of "coupled" separate encoder and decoder networks using cudnn, e.g. for sequence-to-sequence networks.

]]--

require 'rnn'
require 'cunn'
require 'cudnn'

JoostvDoorn

------------------------------------------------------------------------
--[[ SequencerCriterion ]]--
-- Applies a criterion to each of the inputs and targets in the 
-- corresponding input and target Tables.
-- Useful for nn.Repeater and nn.Sequencer.
-- WARNING : assumes that the decorated criterion is stateless, i.e. 
-- the backward doesn't need to be preceded by a commensurate forward.
------------------------------------------------------------------------
local SequencerCriterion, parent = torch.class('nn.SequencerCriterion', 'nn.Criterion')

JoostvDoorn

Copyright (c) 2016, Joost van Doorn
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source caode must retain the above copyright notice, this
   list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation

JoostvDoorn

0.023262095961369
0.043782837063209
0.092482087101952
0.18747380309514
0.36381674030978
0.70580721911491
1.1544929836985
1.7231447811158
2.396492313429
2.9533659130322

JoostvDoorn

-- Simple Sentence Similarity Example with Siamese Encoder
-- Author: Joost van Doorn (joostvandoorn.com)
require 'nn'
require 'rnn'
require 'io'
local pl = require 'pl'
local dl = require 'dataload'

-- Options
local opt = {}