jagesh maharjan (马家杰) jageshmaharjan
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| import asyncio | |
| import asyncpg | |
| import functools | |
| import time | |
| from typing import Callable, Any | |
| def async_timed(): | |
| def wrapper(func: Callable) -> Callable: |
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| //AKMall Json parser extension | |
| import org.json.simple.JSONObject; | |
| import org.json.simple.parser.JSONParser; | |
| import org.json.simple.parser.ParseException; | |
| import java.io.*; | |
| import java.util.ArrayList; | |
| public class ClassicTechJsonReader { |
jageshmaharjan
/ gist:e7a7acac68a66ac4795092f34376354a
Created
April 14, 2017 08:44
The PR is shown below. Basically, i was trying to feed my input to LSTM cell, normalize and trying to feed the Convolution layer. And My stacktrace is shown below. I don't know where did i get it wrong.
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| MultiLayerConfiguration configuration = new NeuralNetConfiguration.Builder() | |
| .updater(Updater.NESTEROVS).adamMeanDecay(0.9).adamVarDecay(0.999) | |
| .regularization(true).l2(1e-5).optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) | |
| .weightInit(WeightInit.XAVIER) | |
| .convolutionMode(ConvolutionMode.Truncate) | |
| .gradientNormalization(GradientNormalization.ClipElementWiseAbsoluteValue).gradientNormalizationThreshold(1.0) | |
| .learningRate(2e-2) | |
| .list() | |
| .layer(0, new GravesBidirectionalLSTM.Builder() | |
| .name("LSTMCell_1") |