dl4j

问题 I am trying to build a RL model with deep Q-Learning using RL4J in the Anylogic PLE as part of my thesis. Unfortunately, I am not overly familiar with Anylogic and DL4J and therefore might be missing some obvious steps. I only have access to the PLE and therefore I am trying to train the RL model inside Anylogic without the use of custom experiments. I changed the Vehicle battery example to be trained inside the Anylogic project's main agent. The main agent includes a state chart, which is my

问题 I am trying to build a RL model with deep Q-Learning using RL4J in the Anylogic PLE as part of my thesis. Unfortunately, I am not overly familiar with Anylogic and DL4J and therefore might be missing some obvious steps. I only have access to the PLE and therefore I am trying to train the RL model inside Anylogic without the use of custom experiments. I changed the Vehicle battery example to be trained inside the Anylogic project's main agent. The main agent includes a state chart, which is my

问题 I am new in neural networks. I am trying to implement and train simple neural network with DL4j. My function: y = x * 2 + 300 My vision My result Parameters: public final int seed = 12345; public final int iterations = 1; public final int nEpochs = 1; public final int batchSize = 1000; public final double learningRate = 0.01; public final Random rng = new Random(seed); public final int numInputs = 2; public final int numOutputs = 1; public final double maxX = 100;//xmax = 100; ymax=500.

问题 What is the precise definition of INDArray.broadcast(long...) in ND4j? The description of both methods only says "Broadcasts this ndarray to be the specified shape", and does not explain the requirements for acceptable shapes to be broadcast. The following code (meant to broadcast an ndarray to a shape of an extra first dimension of length 3) does not work: INDArray array = Nd4j.create(new double[] {1.,2.,3.,4.}, new int[] {2,2}, 'c'); System.out.println("array: " + array); System.out.println

问题 I cannot find out how to get rid of / solve the below errors, that occur when loading a Neural Network model using the DL4J method restoreMultiLayerNetwork using Android API >= 24: The errors occur when the following line within the method restoreMultiLayerNetwork is called: params = Nd4j.read(ins2); with InputStream ins2 = getResources().openRawResource(getResources().getIdentifier("coefficients", "raw", getPackageName())); and "coefficients.bin" is the coefficients file, created by the

问题 Right now we are successfully able to serve models using Tensorflow Serving. We have used following method to export the model and host it with Tensorflow Serving. ------------ For exporting ------------------ from tensorflow.contrib.session_bundle import exporter K.set_learning_phase(0) export_path = ... # where to save the exported graph export_version = ... # version number (integer) saver = tf.train.Saver(sharded=True) model_exporter = exporter.Exporter(saver) signature = exporter