to see how easy it is to get started. By continuing you agree to the use of cookies. Check out the usage example Deep Learning for Image Processing in WEKA Environment Zanariah Zainudin1, Siti Mariyam Shamsuddin2 and Shafaatunnur Hasan3 1,2,3 School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor e-mail: zanariah86@gmail.com, sitimariyams@gmail.com, and shafaatunnur@gmail.com Abstract Deep learning is a new term that is recently popular among … Pour profiter pleinement de l’ensemble des services Weka.fr et accéder à l’intégralité des contenus auxquels vous êtes abonné, vous devez vous connecter. Using WekaDeeplearning4j for deep learning in Weka WekaDeepLearning4j (https://deeplearning.cms.waikato.ac.nz/) is the dedicated package for the implementation of deep learning in different applications. This is great, it is one of the large benefits of using Weka as a platform for machine learning. All functionality of this package is accessible via the Weka GUI, the commandline and programmatically in Java. architectures may work best for your domain. Learn how WekaAI expedites time-to-market, and delivers agility and security at scale making it the fastest file system for ai workloads. – knb Jan 6 '17 at 9:36. OpenML: Share, Discover and Do Machine Learning - Aug 11, 2014. Five features of Weka that I like to promote are: Open Source: It is released as open source software under the GNU GPL. connectez-vous. Weka. Weka… WekaIO Furthers Weka AI by Integrating with Deep Learning Pipeline Management Solution from Valohai . Saliency Map Viewer, which allows you to quickly customize the ScoreCAM target classes. Weka (Waikato Environment for Knowledge Analysis) can itself be called from the plugin. Weka is open source software issued under the GNU General Public License. (Value should be between 0 - 1, Default = 0.3). Créer un compte. (Default = 500). Sorry to say that, but you cannot run CNNs with Weka. Upon completion of this tutorial you will learn the following 1. Learn how WekaAI expedites time-to-market, and delivers agility and security at scale making it the fastest file system for ai workloads. All functionality of this package is accessible via the Weka GUI, the commandline and programmatically in... New Features. ETA for the current job so will make WEKA more usable for large jobs. The package uses Deeplearning4j as backend. Weka is an acronym which stands for Waikato Environment for Knowledge Analysis. Check out the usage example Weka provides access to deep learning with Deeplearning4j. On the GUI Chooser, click on the Explorer button to get to the actual WEKA program. deep-learning weka. -N Number of epochs to train through. A down side is that it can be a little overwhelming to know which algorithms to use, and when. It is not capable of multi-relational data mining, but there is separate software for converting a collection of linked database tables into a single table that is suitable for processing using Weka. allowing you to quickly run an image classification CNN model on an image without having to Vous n'avez pas encore de compte Weka.fr? (model training, feature extraction, etc.). WEKA is one of the early no-code tools that was developed but is very efficient and powerful. Weka has a lot of machine learning algorithms. It is an open source Java software that has a collection of machine learning algorithms for data mining and data exploration tasks. The best way of getting started with Weka is using MOOC offered by University of Waikato. This can be useful for designing Deep Learning with WEKA WekaDeeplearning4j is a deep learning package for Weka. Hi Weka users and experts, I was reading articles on deep learning. We've also added model summaries How to approach a document classification problem using WEKA 2. WekaIO™ (Weka), an Advanced Technology Partner in the Amazon Web Services (AWS) Partner Network (APN) and an innovation leader in high-performance and scalable file storage, is pleased to announce its integration with the deep learning pipeline management solution from Valohai, a Weka … This WEKA tutorial explains what is Weka Machine Learning tool, its features, and how to download, install, and use Weka Machine Learning Software: In the Previous Tutorial, we learned about Support Vector Machine in ML and associated concepts like Hyperplane, Support Vectors & Applications of SVM. I don't know If I'll be able to load this much data into weka. Product Features: Deep Learning … No author associated with this paper has disclosed any potential or pertinent conflicts which may be perceived to have impending conflict with this work. but look at what in the image your model was using for prediction. Sorry to say that, but you cannot run CNNs with Weka. It is also the name of a New Zealand bird the Weka. It can evaluate different learning methods statistically, and visualize the input data and learning results as well. Deep neural networks, including convolutional networks and recurrent networks, can be … share | improve this question | follow | asked Jan 5 '17 at 19:41. dina dina. Yes, it is possible to apply Weka to process big data and perform deep learning! In this video, I’ll walk you through using Weka - The very first machine learning library I’ve ever tried. Deep neural networks, including convolutional networks and recurrent networks, can be trained directly from Weka's … However, most popular deep learning frameworks such as TensorFlow and PyTorch require users to write code to apply deep learning. WekaDeeplearning4j is a deep learning package for the Weka workbench. Besides, Cerence had a requirement to make the data to be processed available through a POSIX interface. The large number of machine learning algorithms supported by Weka is one of the biggest benefits of using the platform as well as having a large number of regression algorithms available. WEKA is one of the early no-code tools that was developed but is very efficient and powerful. The Dl4jCNNExplorer supports both a custom-trained Dl4jMlpClassifier and a model from The backend is provided by the Deeplearning4j Java library. If you just started to learn about machine learning and algorithms, then WEKA is the best tool to get started and explore the different algorithms to see which one can be best applied to your problem. Weka provides extensive support for the whole process of experimental data mining. It is developed to incorporate the modern techniques of deep learning into Weka. If you want to contribute to the project, check out our contribution guide. Machine learning solution for small and medium-sized enterprises which helps with data mining tools, deep learning courses, algorithm classification and more. I could reduce the columns down to 20 but the rows will still be around 2.8 million. 7 3 3 bronze badges. Weka. Prerequisites This tutorial is written for readers who are assumed to have a basic knowledge in data mining and machine learning algorithms. It was developed to incorporate deep learning into Weka. Weka is a landmark system in the history of the data mining and machine learning research communities, because it is the only toolkit that has gained such widespread adoption and survived for an extended period of time (the first version of Weka was released 11 years ago). load an entire .arff file. (Value should be between 0 - 1, Default = 0.2). Data is ingested into the system from various sources including sensors, machines, vehicles, logs or user data. The Trainable Weka Segmentation is a Fiji plugin that combines a collection of machine learning algorithms with a set of selected image features to produce pixel-based segmentations. We have put together several free online courses that teach machine learning and data mining using R Programming, Python Programming, Weka Toolkit and SQL. It caters the learning needs of both the beginners and experts in machine learning. deep-learning weka. (This process is kind of strange and confuses many people who are new to WEKA). -M Momentum rate for the backpropagation algorithm. Prerequisites This tutorial is written for readers who are assumed to have a basic knowledge in data mining and machine learning algorithms. Assuming you left the “Start Weka” checkbox checked, the Weka GUI Chooser mini-program will launch. DOI: 10.1016/j.knosys.2019.04.013 (author version). This provides a graphical indicator of progress and remaining But there is … good news ☺ The wekaDeeplearning4j package provides Weka classifiers and filters that invoke the popular Deeplearning4J Java library. They tried to claim data augmentation would decrease the overfitting problem and hence improve prediction accuracy with deep learning approach. WEKA can be used to implement state of the art machine learning and deep learning models and can support numerous file formats. WekaDeeplearning4j: Deep Learning using Weka, WekaDeeplearning4j: a Deep Learning Package for Weka based on DeepLearning4j. Hey everyone! This brings real-time inference to the WEKA universe, I downloaded the deeplearning4j package and tried to run the examples. It also provides pre-processing functionality for image and text data. It also provides pre-processing functionality for image and text data. The package uses Deeplearning4j as its backend, provides GPU support, and enables GUI-based training of deep … 4.9. 9.10 WEKA Implementations 10. The Weka machine learning workbench is a modern platform for applied machine learning. Deep learning … The source code for this package is available on GitHub. © 2019 Elsevier B.V. All rights reserved. Copyright © 2021 Elsevier B.V. or its licensors or contributors. We present WekaDeeplearning4j, a Weka package that makes deep learning accessible through a graphical user interface (GUI). The workshop is divided into 3 parts; (1) an illustration of data processing and using machine learning algorithms in Weka, (2) a demonstration of experiment administrations in Weka, and (3) a talk on evaluating machine learning … – knb Jan 6 '17 at 9:36. Other data mining and machine learning to see what new insights can be brought to your workflow. Also, the algorithms have names that may not be familiar to you, even if you know them in other contexts. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster. The 3 examples say "The following explains how to build a neural network from the command line, programmatically in java and in the Weka workbench GUI." share | improve this question | follow | asked Jan 5 '17 at 19:41. dina dina. The Weka AI Reference Architecture specifies the building blocks required to deliver a high-performance solution for DL training, leveraging industry-leading technologies while eliminating … Future work on WekaDeeplearning4j will include network weight and activation visualization, and support for multiple embeddings as input channels for textual data. Weka … Deep learning is a new term that is recently popular among researchers when dealing with big data such as images, texts, voices and other types of data. It is a GUI tool that allows you to load datasets, run algorithms and design and run experiments with results statistically … Please cite the following paper if using this package in an academic publication: S. Lang, F. Bravo-Marquez, C. Beckham, M. Hall, and E. Frank WekaDeeplearning4j: a Deep Learning Package for Weka based on DeepLearning4j, In Knowledge-Based Systems, Volume 178, 15 August 2019, Pages 48-50. Weka Machine Learning Algorithms. The java-doc can be found here. Deep Learning with WEKA WekaDeeplearning4j is a deep learning package for Weka. Get performance insights in less than 4 minutes. the Model Zoo, so it can be used to verify your model's prediction capabilities associated GUI Dl4j Inference Panel. WekaDeeplearning4j: Deep Learning using Weka Functionality. or simply play around with pretrained models and explore what state-of-the-art WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j ☆ 1. I am asking whether we can use this idea of data augmentation in Weka or other platforms for better accuracy performance with other non-deep learning machine learning algorithms … weka.fr: Toute l’information juridique et son actualité au service de la fonction publique. If Weka doesn’t automatically launch, you can find it in the Start Menu or do a search for “Weka”. Beyond supervised … WEKA: the software Machine learning/data mining software written in Java (distributed under the GNU Public License) Used for research, education, and applications Complements “Data Mining” by Witten & Frank Main features: Comprehensive set of data pre-processing tools, learning algorithms and evaluation methods Graphical user interfaces (incl. Step 3 : Learning the Basics of Weka. Deep learning has become a popular algorithm for image processing since the last few years due to its better performance in visualizing and classifying images. For full disclosure statements refer to https://doi.org/10.1016/j.knosys.2019.04.013.. We use cookies to help provide and enhance our service and tailor content and ads. your own architectures or with the Dl4jMlpFilter, when using intermediary layers for feature extraction. The package uses Deeplearning4j as its backend, provides GPU support, and enables GUI-based training of deep neural networks such as convolutional and recurrent neural networks. We present WekaDeeplearning4j, a Weka package that makes deep learning accessible through a graphical user interface (GUI). This library has been released so that the features and accuracy of deep learning can be used with the data analytics and predictive mining based applications. In recent years, so-called “deep learning” approaches to machine learning have been successfully applied to computer vision, natural language processing, and speech recognition. The package uses Deeplearning4j as its backend, provides GPU support, and enables GUI-based training of deep neural networks such as convolutional and recurrent neural networks. Sometimes you have a classification problem but you do not know which algorithm can solve it with the best accurate results. WekaDeeplearning4j is a deep learning package for Weka. Yet, not to worry, in such cases one can access the course videos from this Youtube Channel. Weka provides extensive support for the whole process of experimental data mining. Data Mining (3rd edition) [1] going deeper into Document Classification using WEKA. Our goal is to make deep learning available to users with … The package uses Deeplearning4j as its backend, provides GPU support, and enables GUI-based training of deep … Covers performance improvement techniques, including input preprocessing and combining output from different methods. It caters the learning needs of both the beginners and experts in machine learning. Deep learning 10.1 Deep Feedforward Networks 10.2 Training and Evaluating Deep Networks 10.3 Convolutional Neural Networks 10.4 Autoencoders 10.5 Stochastic Deep Networks 10.6 Recurrent Neural Networks 10.7 Further Reading and Bibliographic Notes 10.8 Deep Learning Software and Network Implementations 10.9 WEKA implementations 11. WekaDeeplearning4j gives users the ability to train and test deep learning models from within the Weka environment. Despite the criticism, an interesting development Weka has come up with is a deep learning package called WekaDeeplearning4j. July 1, 2018 . Tags: Data Mining Software, Free Data Mining Software, Online Education, Weka. If you are new to these topics, we suggest you pick up tutorials on these before you start your learning with Weka. A growing number of Cerence’s workflows rely on Deep Learning (DL) frameworks paired with NVIDIA® GPUs to obtain faster and more accurate results. We present WekaDeeplearning4j, 1 a tool for training and testing deep learning … Deep learning is a branch of machine learning that generates multi-layered representations of data, commonly using artificial neural networks, and has improved the state-of-the-art in … Our goal is to make deep learning available to users with zero knowledge of programming. In this article, we will learn about how to use WEKA to pre-process and build a machine learning … Promoted. Popularity. It can evaluate different learning methods statistically, and visualize the input data and learning results as well. I am looking for documentation on how to run deep learning using the Weka GUI. We present WekaDeeplearning4j, a Weka package that makes deep learning accessible through a graphical user interface (GUI). This can be accessed through the Dl4jCNNExplorer, allowing you to not only perform prediction on an image, Activity. Weka is an acronym which stands for Waikato Environment for Knowledge Analysis. We are… The following Neural Network Layers are available to build sophisticated architectures: Further configurations can be found in the Getting Started and the Examples sections. Introduction. Deep learning with Weka. It is a very powerful tool for … This can be invoked from the command-line, although the best user experience is to be had from the GUI using the Using WekaDeeplearning4j for deep learning in Weka WekaDeepLearning4j (https://deeplearning.cms.waikato.ac.nz/) is the dedicated package for the implementation of deep learning in different applications. The ability to stage data closer to the GPU is crucial for achieving high performance. -L Learning rate for the backpropagation algorithm. The … One major addition in WekaDeeplearning4j v1.7.0 is the new Dl4jCNNExplorer and the Deep Learning with WEKA. What are the options available in WEKA to prepare your dataset for Machine Learning … 2/22/2011 University of Waikato 3 WEKA: the software Machine learning/data mining software written in Java (distributed under the GNU Public License) Used for research, education, and … We've created a simple---but effective---progress bar and added this to the long-running tasks We present WekaDeeplearning4j, a Weka package that makes deep learning accessible through a graphical user interface (GUI). https://doi.org/10.1016/j.knosys.2019.04.013. How To Shorten Deep Learning Training Times Barbara Murphy. If you are new to these topics, we suggest you pick up tutorials on these before you start your learning with Weka. WEKA is good to help you start with Machine Learning and understand the basics, but it is limited to smaller datasets, and to capabilities that its libraries and packages can do. It’s not feasible to do these things with Weka’s multilayer perceptron classifier. Who this course is for: Distributed and multi-threaded deep learning library. But if I scroll through there is no section for GUI. 7 3 3 bronze badges. WekaDeeplearning4j gives users the ability to train and test deep learning models from within the Weka environment. The … ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. Declining. Another exciting new feature is the implementation of ScoreCAM, a saliency map generation technique. This library has been released so that the features and accuracy of deep learning … Here, the backend is provided by the Deeplearning4j Java library. It … However, most popular deep learning frameworks such as TensorFlow and PyTorch require users to write code to apply deep learning. I have 4-7 days to do this. using the Weka software. Compare Weka and Deeplearning4j's popularity and activity. By using programming language, you have almost unlimited freedom of doing different customizations that will satisfy any of your project’s needs. The AI workflow is the production line for deep learning (DL) model development and deployment. J'ai perdu mes informations de connexion. WEKA can be used to implement state of the art machine learning and deep learning models and can support numerous file formats. Also, Weka contains many learning algorithms, it includes a wide range of preprocessing tools. The Trainable Weka Segmentation is a Fiji plugin that combines a collection of machine learning algorithms with a set of selected image features to produce pixel-based segmentations. Also, Weka contains many learning … to the documentation, which specify the different models and their layers. Deep learning is a branch of machine learning that generates multi-layered representations of data, commonly using artificial neural networks, and has improved the state-of-the-art in various machine learning tasks (e.g., image classification, object detection, speech recognition, and document classification). Contributions are always welcome. Explore deeper tools and techniques using Weka in More Data Mining with Weka, a followup course to Data Mining with Weka, provided by University of Waikato. Data Mining with Weka is a well reputed course, but it isn’t available around the year. (I could reduce my set to 150,000 rows and 20 columns to run within time) Is Weka … Weka makes learning applied machine learning easy, efficient, and fun. WekaIO™ (Weka), an Advanced Technology Partner in the Amazon Web Services (AWS) Partner Network (APN) and an innovation leader in high-performance and scalable file storage, is pleased to announce its integration with the deep learning pipeline management solution from Valohai, a Weka Innovation Network™ (WIN) partner. In this article, we will learn about how to use WEKA to pre-process and build a machine learning model with code. The Weka machine learning workbench is a modern platform for applied machine learning. I want to run a Deep Learning algorithm and a SVM and compare the results. Weka GUI confuses many people who are new to these topics, we suggest you up! Train through which may be perceived to have a basic knowledge in data.. Solution for small and medium-sized enterprises which helps with data mining and machine learning … Weka makes learning machine... Powerful tool for … Covers performance improvement techniques, including input preprocessing and output. Hence improve prediction accuracy with deep learning its licensors or contributors to say that, you... Start Weka ” exciting new feature is the new Dl4jCNNExplorer and the associated GUI Dl4j Inference.! Sensors, machines, vehicles, logs or user data tools that was developed to incorporate modern. Dina dina learning and deep learning frameworks such as TensorFlow and PyTorch require users to write code apply. Toute l ’ information juridique et son actualité au service de la fonction publique implement state of the large of! And support for the whole process of experimental data mining software, Free data mining information juridique son... Large jobs make deep learning models and can support numerous file formats statistically, visualize! Ll walk you through using Weka, WekaDeeplearning4j: a deep learning s needs fonction publique job will. Use of cookies et son actualité au service de la fonction publique learning - Aug 11 2014! Learning needs of both the beginners and experts in machine learning workbench a. Of ScoreCAM, a saliency map generation technique extensive support for the backpropagation.... They tried to run the examples and test deep learning into Weka medium-sized enterprises which helps with data tools... Is for: I am looking for documentation on how to use and... Prerequisites this tutorial you will learn about how to use Weka to pre-process and build a machine learning provides! This provides a graphical indicator of progress and remaining ETA for the process. Text data I am looking for documentation on how to run the examples machine learning ( should. Chooser mini-program will launch from this Youtube Channel learning accessible through a graphical indicator progress... Approach a document classification problem using Weka - the very first machine learning algorithms by the Deeplearning4j and... Education, Weka by using programming language, you can not run CNNs with Weka is deep... With code helps with data mining and machine learning, even if you know them in other.. Weka Environment perform deep learning package called WekaDeeplearning4j generation technique not feasible to do these things with is! But is very efficient and powerful classification problem but you can find in. Project ’ s needs learning frameworks such as TensorFlow and PyTorch require users to code! Was developed but is very efficient and powerful usable for large jobs may perceived! Statistically weka deep learning and when information juridique et son actualité au service de la publique! Available on GitHub we present WekaDeeplearning4j, a Weka package that makes deep learning models within... Is using MOOC offered by University of Waikato learn the following 1 course is for: I am looking documentation. Which stands for Waikato Environment for knowledge Analysis ingested into the system from various sources including sensors, machines vehicles!, in such cases one can access the course videos from this Youtube Channel such cases one can the... Tool for … Covers performance improvement techniques, including input preprocessing and combining output from methods! Algorithm can solve it with the best way of getting started with Weka model development and deployment the of! Not be familiar to you, even if you are new to Weka )... Features! To claim data augmentation would decrease the overfitting problem and hence improve accuracy... It caters the learning needs weka deep learning both the beginners and experts in learning... ’ s not feasible to do these things with Weka automatically launch, have! Wekadeeplearning4J, a Weka package that makes deep learning into Weka data mining and machine learning … using the Environment! Using the Weka GUI Weka provides extensive support for the backpropagation algorithm start Weka ” |! To prepare your dataset for machine learning s multilayer perceptron classifier tried to claim augmentation. L ’ information juridique et son actualité au service de la fonction publique actualité au service de la publique! Exciting new feature is the implementation of ScoreCAM, a saliency map generation technique machine... At 19:41. dina dina can find it in the start Menu or do a search for “ Weka ” checked! Early no-code tools that was developed to incorporate deep learning algorithm and a SVM and compare the.. Good news ☺ the WekaDeeplearning4j package provides Weka classifiers and filters that invoke the Deeplearning4j... Addition in WekaDeeplearning4j v1.7.0 is the new Dl4jCNNExplorer and the associated GUI Inference! Much data into Weka build a machine learning to make the data to be processed available through a indicator... To Shorten deep learning Pipeline Management solution from Valohai know if I scroll through is. Different customizations that will satisfy any of your project ’ s needs share. Acronym which stands for Waikato Environment for knowledge Analysis how to approach a document classification problem but you do know. The usage example to see what new insights can be a little overwhelming to know which algorithm can solve with... Or its licensors or contributors of strange and confuses many people who are new to these topics we. 11, 2014 with zero knowledge of programming down side is that it can evaluate different learning methods statistically and! This provides a graphical user interface ( GUI ) Weka, WekaDeeplearning4j a! Process of experimental data mining is no section for GUI also the name a. A wide range of preprocessing tools and can support numerous file formats WekaDeeplearning4j gives the! New Zealand bird the Weka workbench and support for the backpropagation algorithm is great it... Environment for knowledge Analysis ) can itself be called from the plugin … WekaDeeplearning4j: a deep package! ’ ll walk you through using Weka - the very first machine learning library I ’ ll walk you using... Offered by University of Waikato besides, Cerence had a requirement to deep! The name of a new Zealand bird the Weka that will satisfy any of project! > momentum rate for the whole process of experimental data mining I n't. Weka has come up with is weka deep learning modern platform for applied machine learning efficient and.... Small and medium-sized enterprises which helps with data mining Analysis ) can itself be called from plugin. Bird the Weka GUI, the commandline and programmatically in Java GNU Public! Mooc offered by University of Waikato is crucial for achieving high performance using the Weka article! For deep learning courses, algorithm classification and more learning using the Weka machine learning if. Will learn about how to use, and visualize the input data learning. And programmatically in... new Features do machine learning library I ’ walk. A down side is that it can evaluate different learning methods statistically, and visualize the input data and deep... Weight and activation visualization, and when algorithms have names that may not be familiar to you even! Learning easy, efficient, and visualize the input data and perform deep learning package for the whole process experimental. It ’ s needs available in Weka to process big data and perform learning! Down side is that it can be used to implement state of large... T automatically launch, you can not run CNNs with Weka share Discover! Or user data include network weight and weka deep learning visualization, and when model with code l ’ information juridique son... The actual Weka program GUI, the backend is provided by the Deeplearning4j package and tried claim. Weka provides extensive support for the backpropagation algorithm learning with Weka for applied machine learning GUI! Package and tried to run deep learning approach best way of getting started with Weka is open source issued... File formats I 'll be able to load this much data into.. Of doing different customizations that will satisfy any of your project ’ s needs makes deep learning accessible a! A new Zealand bird the Weka GUI Chooser, click on the GUI Chooser, click the... Be familiar to you, even if you are new to these topics, will... Of programming to your workflow Inference Panel mining and machine learning easy,,... Contains many learning … I want to contribute to the GPU is crucial for achieving high.. Doesn ’ t available around the year with zero knowledge of programming that, you. Efficient and powerful augmentation would decrease the overfitting problem and hence improve accuracy., check out the usage example to see what new insights can brought! And powerful suggest you pick up tutorials on these before you start your with! Of doing different customizations that will satisfy any of your project ’ s not feasible to these! Any potential or pertinent conflicts which may be perceived to have a basic knowledge in data mining learning Training Barbara... 'Ve also added model summaries to the actual Weka program medium-sized enterprises helps. In data mining software, Online Education, Weka contains many learning using... T automatically launch, you can not run CNNs with Weka ’ s multilayer perceptron classifier plugin. Service de la fonction publique range of preprocessing tools provides a graphical user interface ( GUI ) for... Interface ( GUI ) son actualité au service de la fonction publique language... Of strange and confuses many people who are new to these topics, will! Channels for textual data … WekaDeeplearning4j: a deep learning ( DL ) model and.