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Questions tagged [deeplearning4j]

Deeplearning4j is commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments, rather than as a research tool.

Deeplearning4j is a deep learning programming library written for Java and the Java virtual machine (JVM) and a computing framework with wide support for deep learning algorithms (such as Boltzmann machine, deep belief net, deep autoencoder, stacked denoising autoencoder and recursive neural tensor network, word2vec, doc2vec, and GloVe).

These algorithms all include distributed parallel versions that integrate with Apache Hadoop and Apache Spark.

For more information: deeplearning4j site, source code, support forum

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413 questions
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DeepLearning4J - ParagraphVectors: Why is similarity negative?

I'm using the ParagraphVector tool in DeepLearning4j framework. What I'm doing is training a model on a set of text documents and then calculating the similarity between those documents. Now, as the reference page…
Luca P.
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DL4J - Accuracy with Denoising Autoencoder

I've been trying to run the example code provided by DL4J for the stacked denoising autoencoder. However, my results have been really bad: Warning: class 0 was never predicted by the model. This class was excluded from the average…
Chris Hayduk
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Autoencoder for dimesionality reduction in DL4J

I'm trying to write an autoencoder for dimensionality reduction in DL4J, but all the autoencoder examples I can find for DL4J are for outlier…
code monkey
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Creating a DL4J java application

How can I use DL4J in my own Java project using maven? For this project I am going to need to shade dependencies inside of my new projects jar however doing this causes my jar file to be almost 500MB when its normally like 4MB it also causes my jar…
user17364069
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Different predictions for the same data

I use Deeplearning4j to classify equipment names. I marked ~ 50,000 items with 495 classes, and I use this data to train the neural network. That is, as input, I provide a set of vectors (50,000) consisting of 0 and 1, and the expected class for…
apollox
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DL4J feature importance

I have built a LSTM neural network with multiple features with Deeplearning4j. Now I want to know if a feature which I have added is good or not. I remember from other programming languages that there is a possibility to get a percentage value…
Corius
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facing problem in reshaping array of size 92200000 into shape (-1,100,100,3) and it work on (-1,100,100) but then i got another problem of input data

this was the error: ValueError Traceback (most recent call last) in () 57 58 ---> 59 base_model = tf.keras.applications.vgg16.VGG16(weights = 'imagenet', include_top…
areeb adnan
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MultiLayerNetwork saved in DL4J is not loading in Python

I have been working with neural networks in Deeplearning4j and needed to switch it to Python. To use the same model (MultiLayerNetwork in DL4J) I saved it as a .h5 file. Like this: File newFile = new…
art-m
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Deeplearning4j: Generate random INDArray(s) as input for a MultiLayerNetwork

I am working on a project where I intend to do some performance analysis on MultiLayerNetworks. As the title says it, I intend to create a random INDArray of inputs and labels of arbitrary size, which will be used as (training-)input for an…
Fanta
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Image to image DataSetIterator using dl4j

I would like to use DeepLearning4j to build and train a U-Net network. To do this I need a dataset iterator that feed the network with an image in input and an other image in output. I am new to DL4j and all the examples I found explain how build…
Mateo Lopez
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How can be series, a bunch of signals, not the single signal input of sequential data be classified by several groups of classification with DL4J?

I have 60 signals sequences samples with length 200 each labeled by 6 label groups, each label is marked with one of 10 values. I'd like to get prediction in each label group on each label when feeding the 200-length or even shorter sample to the…
Eljah
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Exception while running ResNet in deeplearning4j

I tried to run ResNet50 computation graph provided in ZooModel of deeplearning4j but got following error while calling init() method of resNet. I have 10 classes and each image is 64*64. Please suggest the correct way of…
Tapan Sharma
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What are b and W on the parameter ratios update graphs in the dl4j UI Server?

The labels I'm asking about are highlighted on the graph.
Eljah
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I need to understand what it is nEpoch in sample

I am running the example number [96] org.deeplearning4j.examples.convolution.objectdetection.HouseNumberDetection. It's in the training phase and I was wondering why this sentence keeps coming up: o.d.o.l.ScoreIterationListener - Score at iteration…
aironman
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Compute option payoff on a vectorial way (no loop)

Hy everyone, I would like to price vanilla options with Nd4J. So i am looking to achieve the operation with Nd4J max(0,X[i]-K) => Y[i] with X the input INDArray K a float Y the output INDArray Is someone have an idea how to proceed ? Thanks by…
alx
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