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Search results for deeplearning4j

    Found 28 documents, 12389 searched:

  • Top 10 Deep Learning Projects on Github

    ...824, 612 Deeplearning4j is an industrial-strength deep learning framework for Java and Scala. As one of the lone JVM deep learning solutions of note, Deeplearning4j has an obvious advantage in the space. Integrating with Hadoop and Spark, Deeplearning4j also has the ability to leverage GPUs. Its...

    https://www.kdnuggets.com/2016/01/top-10-deep-learning-github.html

  • Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis">Platinum BlogPython eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis

    ...wrapper on top of Tensorflow. Top Deep Learning tools were: Tensorflow, 29.9% Keras, 22.2% PyTorch, 6.4% Theano, 4.9% Other Deep Learning Tools, 4.9% DeepLearning4J, 3.4% Microsoft Cognitive Toolkit (Prev. CNTK), 3.0% Apache MXnet, 1.5% Caffe, 1.5% Caffe2, 1.2% TFLearn, 1.1% Torch, 1.0% Lasagne,...

    https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html

  • Popular Deep Learning Tools – a review

    …a Cuda is all over the Internet. Cuda-convnet/CuDNN supports all the mainstream softwares such as Caffe, Torch and Theano and is very easy to enable. Deeplearning4j: Unlike the above packages, Deeplearning4j is designed to be used in business environments, rather than as a research tool. As on its…

    https://www.kdnuggets.com/2015/06/popular-deep-learning-tools.html

  • Deep Learning Framework Power Scores 2018

    ...ghted and combined the data in this Kaggle Kernel. UPDATE SEPT 20, 2018: Due to popular demand, I expanded the frameworks evaluated to include Caffe, Deeplearning4J, Caffe2, and Chainer. Now all deep learning frameworks with more than 1% reported usage on KDNuggets usage survey are included. UPDATE...

    https://www.kdnuggets.com/2018/09/deep-learning-framework-power-scores-2018.html

  • Two Years In The Life of AI, Machine Learning, Deep Learning and Java

    ...(aka NLP) – An introduction to natural language processing and a demo using opensource libraries (Tweet) – Implementing NLP Attention Mechanisms with DeepLearning4J (Tweet) – How Stanford CoreNLP, a popular Java natural language tool can help you perform Natural Language Processing tasks(Tweet) –...

    https://www.kdnuggets.com/2019/11/life-ai-machine-learning-deep-learning-java.html

  • Top 16 Open Source Deep Learning Libraries and Platforms

    ...tive programming to maximize efficiency and productivity. Stars: 13699, Contributors: 516, Commits: 6953, Start: 26-Apr-15. Github URL: Apache MXnet. DeepLearning4J is part of the Skymind Intelligence Layer, along with ND4J, DataVec, Arbiter and RL4J. It is an Apache 2.0-licensed, open-source,...

    https://www.kdnuggets.com/2018/04/top-16-open-source-deep-learning-libraries.html

  • Gold BlogPython leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis">Gold BlogGold BlogPython leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis

    ...19% share 2018% share % change Tensorflow 31.7% 29.9% 5.8% Keras 26.6% 22.2% 19.7% PyTorch 11.3% 6.4% 75.5% Other Deep Learning Tools 5.6% 4.9% 15.2% DeepLearning4J 2.5% 3.4% -25.6% Apache MXnet 1.7% 1.5% 13.1% Microsoft Cognitive Toolkit 1.6% 3.0% -45.5% Theano 1.6% 4.9% -67.4% Torch 0.9% 1.0%...

    https://www.kdnuggets.com/2019/05/poll-top-data-science-machine-learning-platforms.html

  • How Convolutional Neural Networks Accomplish Image Recognition?

    …your brain. Each neuron responds to only a small portion of your complete visual field). The Working Process of a Convolutional Neural Network Image: deeplearning4j From left to right in the above image, you can observe: The real input image that is scanned for features. The filter that passes over…

    https://www.kdnuggets.com/2017/08/convolutional-neural-networks-image-recognition.html

  • Ranking Popular Deep Learning Libraries for Data Science">Gold BlogRanking Popular Deep Learning Libraries for Data Science

    ...ans one standard deviation above average (average = score of 0). For example, Caffe is one standard deviation above average in Github activity, while deeplearning4j is close to average. See below for methods. Results and Discussion The ranking is based on equally weighing its three components:...

    https://www.kdnuggets.com/2017/10/ranking-popular-deep-learning-libraries-data-science.html

  • A Guide to Understanding AI Toolkits

    ...any programming languages. MXNet has been accepted into the Apache Incubator, which puts it on track to eventually become a top-level Apache project. Deeplearning4J: a commercially-supported deep learning framework with strong performance in a Java environment, making it attractive for enterprise...

    https://www.kdnuggets.com/2017/08/guide-understanding-ai-toolkits.html

  • 37 Reasons why your Neural Network is not working">Silver Blog, Aug 201737 Reasons why your Neural Network is not working

    …pinch, you can also print weights/biases/activations. Be on the lookout for layer activations with a mean much larger than 0. Try Batch Norm or ELUs. Deeplearning4j points out what to expect in histograms of weights and biases: “For weights, these histograms should have an approximately Gaussian…

    https://www.kdnuggets.com/2017/08/37-reasons-neural-network-not-working.html

  • Top Machine Learning Libraries for Javascript

    ...arve out their own eventual niche. As those in industry would be the first to let me know, Python is not the only option. There are Java-based tools (Deeplearning4j, Weka), those integrated with Apache Spark and/or Hadoop (MLlib, Mahout), C++ solutions (TensorFlow is written in C++, as are many...

    https://www.kdnuggets.com/2016/06/top-machine-learning-libraries-javascript.html

  • Data Science & Machine Learning Platforms for the Enterprise

    …pare: Supported languages R and Python are mandatory for most data science and machine learning projects. Java is a close second given libraries like deeplearning4j and H2O’s POJO model extractor. C++ is especially relevant in context of scientific computation or HPC. Other runtimes are…

    https://www.kdnuggets.com/2017/05/data-science-machine-learning-platforms-enterprise.html

  • What data has to teach us about deep learning?

    ....com) will have 24 talks, including a keynote from Melanie Warrick, Google's Senior Developer Advocate. Previously she was the a founding engineer on Deeplearning4J and implemented machine learning (ML) in production at Change.org. Melanie will speak about using ML in production. She says it...

    https://www.kdnuggets.com/2017/09/crunch-data-engineering-analytics-budapest-october.html

  • Where AI is already rivaling humans

    ...ftware Foundation in 1985. In 2002, Torch was the first such machine learning software but since then many others (e.g., Caffe, Theano, Keras, MXNet, DeepLearning4J, Tensorflow) have been introduced [118,119]. This has allowed researchers and practitioners to experiment immensely with open source...

    https://www.kdnuggets.com/2018/02/domains-ai-rivaling-humans.html

  • Which Deep Learning Framework is Growing Fastest?

    ...yTorch.   I won’t be exploring other deep learning frameworks in this article. I expect I will receive feedback that Caffe, Theano, MXNET, CNTK, DeepLearning4J, or Chainer deserve to be discussed. While these frameworks each have their virtues, none appear to be on a growth trajectory likely...

    https://www.kdnuggets.com/2019/05/which-deep-learning-framework-growing-fastest.html

  • Getting Started with Deep Learning

    ...is not an exhaustive list of available deep learning toolkits, more of which can be found here. In the coming months, our team is excited to checkout DeepLearning4j, Paddle, Chainer, Apache Signa, and Dynet. We explain our scoring of the reviewed tools below: Languages: When getting started with...

    https://www.kdnuggets.com/2017/03/getting-started-deep-learning.html

  • Top 6 Reasons Data Scientists Should Know Java

    ...hese frameworks provide the basic functionality to developers and help them save time and money. Examples of popular machine learning frameworks are: Deeplearning4J - It's an open-source, deep-learning toolkit for Java to deploy neural nets. It can be integrated with Hadoop and Spark. ND4J - It...

    https://www.kdnuggets.com/2020/06/top-6-reasons-data-scientists-know-java.html

  • Recommender Engine - Under The Hood

    ...Learning (score:0.389869522721) You may also like to read: Statistical Distributions (score:0.13171009673) Sources: TF-IDF Kaggle Vector space model Deeplearning4j Sklearn Cosine Similarity Sklearn TFidfvectorizer Mark Needham Blog MIT Technology Review Code link...

    https://www.kdnuggets.com/2018/02/recommender-engine.html

  • 50 Deep Learning Software Tools and Platforms, Updated

    ...lab toolbox for Deep Learning (from Rasmus Berg Palm) Deep Belief Networks. Matlab code for learning Deep Belief Networks (from Ruslan Salakhutdinov) deeplearning4j, an Apache 2.0-licensed, open-source, distributed neural net library written in Java and Scala. DeepDist, accelerates the training by...

    https://www.kdnuggets.com/2015/12/deep-learning-tools.html

  • Strata + Hadoop World 2015 Singapore – Day 2 Highlights

    …Consulting). With evolution of deep learning many industries are eager to try them out with their current enterprise solutions. Josh talked about how DeepLearning4J is one of the most suitable framework for enterprises and what are its advantages. He described that the enterprise pipelines are…

    https://www.kdnuggets.com/2015/12/strata-hadoop-2015-singapore-highlights-day2.html

  • Introducing: Blocks and Fuel – Frameworks for Deep Learning in Python

    ...deep learning frameworks like PyLearn2, GroundHog (both developed by MILA), Lasagne and Keras, as well as others like Caffe for C++, Mocha for Julia, DeepLearning4J for Java and Torch for LuaJIT. Blocks and Fuel certainly look like promising complementary frameworks, but the only way to know for...

    https://www.kdnuggets.com/2015/10/blocks-fuel-deep-learning-frameworks.html

  • R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites

    ...ools New this year was a category of Deep Learning Tools, with most popular tools being: Pylearn2 (55 users) Theano (50) Caffe (29) Cuda-convnet (17) Deeplearning4j (12) Torch (27)   However, this category is growing rapidly and above list is incomplete, since the largest count in this...

    https://www.kdnuggets.com/2015/05/poll-r-rapidminer-python-big-data-spark.html

  • DeepLearningKit – Open Source Deep Learning Framework for Apple iOS, OS X

    …: develop model importers (in Swift) for convolutional neural networks) from other tools than Caffe, e.g. Torch, TensorFlow, Theano, Nervana Systems, DeepLearning4J or Pylearn. HDF5 is an interesting format. Training Support: our goal was to primarily support using already trained Deep Learning…

    https://www.kdnuggets.com/2015/12/deeplearningkit-open-source-framework-apple-ios-osx.html

  • 7 Steps to Understanding Deep Learning

    ...neural network library for Theano and TensorFlow Lasagne - lightweight Python library for atop Theano Torch - Lua machine learning algorithm library Deeplearning4j - open source, distributed deep learning library for Java and Scala Chainer - a flexible, intuitive Python neural network library...

    https://www.kdnuggets.com/2016/01/seven-steps-deep-learning.html

  • How Convolutional Neural Networks Work

    ...e who loves to learn by doing, there are a number of popular deep learning tools available. Try them all! And then tell us what you think. Caffe CNTK Deeplearning4j TensorFlow Theano Torch Many others I hope you've enjoyed our walk through the neighborhood of Convolutional Neural Networks. Feel...

    https://www.kdnuggets.com/2016/08/brohrer-convolutional-neural-networks-explanation.html

  • R, Python Duel As Top Analytics, Data Science software – KDnuggets 2016 Software Poll Results

    ...der Theano/Pylearn2 ecosystem. Top tools: Tensorflow, 6.8% Theano ecosystem (including Pylearn2), 5.1% Caffe, 2.3% MATLAB Deep Learning Toolbox, 2.0% Deeplearning4j, 1.7% Torch, 1.0% Microsoft CNTK, 0.9% Cuda-convnet, 0.8% mxnet, 0.6% Convnet.js, 0.3% darch, 0.1% Nervana, 0.1% Veles, 0.1% Other...

    https://www.kdnuggets.com/2016/06/r-python-top-analytics-data-mining-data-science-software.html

  • Predictions for Deep Learning in 2017

    ..., with support for other languages sure to follow. In addition to DeepMind and TensorFlow, open tools for deep-learning development currently include DeepLearning4J, Keras, Caffe, Theano, Torch, OpenBLAS and Mxnet. In 2017, open-source development options for deep-learning developers will continue...

    https://www.kdnuggets.com/2016/12/ibm-predictions-deep-learning-2017.html

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