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Shmuma / t0.py
Created February 3, 2017 10:53
#!/usr/bin/env python
# Multi-layer perceptron inspired by this: https://gym.openai.com/evaluations/eval_P4KyYPwIQdSg6EqvHgYjiw
# https://gist.githubusercontent.com/anonymous/d829ec2f8bda088ac897aa2055dcd3a8/raw/d3fcdfdcc9038bf24385589e94939dcd3c198349/crossentropy_method.py
import gym
import argparse
from gym import wrappers
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Activation
@Shmuma
Shmuma / 0_reuse_code.js
Created February 18, 2016 08:52
Here are some things you can do with Gists in GistBox.
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console
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Shmuma / gist:7acd3632a5f1f408d179
Created October 27, 2015 15:27
15/10/27 15:19:34 WARN TaskSetManager: Lost task 39.0 in stage 0.0 (TID 39, 10.106.1.52): java.lang.IllegalStateException: Function did not decrease: score = 6.34683125 > 6.3463484375 = oldScore
at org.deeplearning4j.optimize.solvers.BackTrackLineSearch.optimize(BackTrackLineSearch.java:251)
at org.deeplearning4j.optimize.solvers.BaseOptimizer.optimize(BaseOptimizer.java:171)
at org.deeplearning4j.optimize.Solver.optimize(Solver.java:52)
at org.deeplearning4j.nn.layers.BaseLayer.fit(BaseLayer.java:471)
at org.deeplearning4j.nn.layers.feedforward.rbm.RBM.fit(RBM.java:410)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.pretrain(MultiLayerNetwork.java:214)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1336)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1382)
at org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap.call(IterativeReduceFlatMap.java:87)
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Shmuma / Model.java
Created October 15, 2015 11:03
public static MultiLayerNetwork createRBMModel(int iterations, int features, int hidden) {
MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder()
.seed(123)
.iterations(iterations)
.learningRate(1e-1)
.optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT)
.constrainGradientToUnitNorm(true)
.momentum(0.9)
.list(2)
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Shmuma / gist:1600759
Created January 12, 2012 14:15
Trivial writer to estimate LZO performance
import java.io.IOException;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Random;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.conf.Configuration;
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Shmuma / test
Created April 2, 2009 07:40
Test