During this process MXNet will take care of passing along the input to the node and fetching the results. MXNet will also attempt to remove any duplicated weights (parameters) during the graph initialization to keep memory usage low. That is, if there are graph weights that are used only in...
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...
Source File: ModelSerializerTest.java From deeplearning4j with Apache License 2.0 6 votes @Test public void testJavaSerde_1() throws Exception { int nIn = 5; int nOut = 6; ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder().seed(12345).l1(0.01) .graphBuilder() ....
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...
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...
ComputationGraph g =newComputationGraph(conf); g.init(); g.feedForward(newINDArray[] {in1, in2},false); g.fit(ds); } 开发者ID:deeplearning4j,项目名称:deeplearning4j,代码行数:37,代码来源:TestGraphNodes.java 示例3: testUICompGraph ...
This animation shows arecursive neural networkrun with dynamic batching. Operations of the same type appearing at the same depth in the computation graph (indicated by color in the animiation) are batched together regardless of whether or not they appear in the same parse tree. TheEmbedoperation...
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 ...
DHG(DeepHypergraph)is a deep learning library built uponPyTorchfor learning with both Graph Neural Networks and Hypergraph Neural Networks. It is a general framework that supports both low-order and high-order message passing likefrom vertex to vertex,from vertex in one domain to vertex in another...