To this end, we introduce RLgraph, a library for designing and\nexecuting reinforcement learning tasks in both static graph and define-by-run\nparadigms. The resulting implementations are robust, incrementally testable,\nand yield high performance across different deep learning frameworks and\n...
The examples below shows a Gluon implementation of a Wavenet before and after a TensorRT graph pass. You can see that for this network TensorRT supports a subset of the operators involved. This makes it an interesting example to visualize, as several subgraphs are extracted and replaced with spe...
Modular computation graphs for deep reinforcement learning. RLgraph is a framework to quickly prototype, define and execute reinforcement learning algorithms both in research and practice. RLgraph is different from most other libraries as it can support TensorFlow (or static graphs in general) or eage...
Source File: ActorCriticCompGraph.java From deeplearning4j with Apache License 2.0 6 votes public void applyGradient(Gradient[] gradient, int batchSize) { if (recurrent) { // assume batch sizes of 1 for recurrent networks, // since we are learning each episode as a time serie batchS...
importorg.deeplearning4j.nn.graph.ComputationGraph;//导入方法依赖的package包/类@TestpublicvoidtestBasicCenterLoss(){ Nd4j.getRandom().setSeed(12345);intnumLabels =2;boolean[] trainFirst =newboolean[] {false,true};for(booleantrain : trainFirst) {for(doublelambda :newdouble[] {0.0,0.5,2.0})...
TensorFlow Fold is a library for creatingTensorFlowmodels that consume structured data, where the structure of the computation graph depends on the structure of the input data. For example,this modelimplementsTreeLSTMsfor sentiment analysis on parse trees of arbitrary shape/size/depth. ...
This evolution has led to large graph-based neural network models that go beyond what existing deep learning frameworks or graph computing systems are designed for. We present NeuGraph, a new framework that bridges the graph and dataflow models to support efficient and scalable...
Dragon: A Computation Graph Virtual Machine Based Deep Learning FrameworkDeprecated. See seetaresearch/Dragon.About Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework. dragon.seetatech.com/ Topics python vm graph cuda memory-efficient Resources Readme License BSD-2-Clause ...
本文整理了Java中org.deeplearning4j.util.ModelSerializer.restoreComputationGraph()方法的一些代码示例,展示了ModelSerializer.restoreComputationGraph()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。ModelSerializer.restor...