vcjha.wordpress.com
Deep Learning Libraries and Frameworks | Love, learn and laugh
https://vcjha.wordpress.com/2016/04/25/deep-learning-libraries-and-frameworks
Love, learn and laugh. Few random things to learn. Deep Learning Libraries and Frameworks. April 25, 2016. Is a python library for defining and evaluating mathematical expressions with numerical arrays. It makes it easy to write deep learning algorithms in python. On the top of the Theano many more libraries are built. Is a minimalist, highly modular neural network library in the spirit of Torch, written in Python, that uses Theano under the hood for optimized tensor manipulation on GPU and CPU. Is deep ...
depiesml.wordpress.com
August | 2015 | depiesml
https://depiesml.wordpress.com/2015/08
Machine Learning With Deeplearning4j (DL4J). Getting Started – DL4J. DL4J (Deeplearning4j) – A Glance at the POM. August 28, 2015. September 3, 2015. We set up in our “ Getting Started with DL4J. 8221; post. Lets get started. Continue reading →. DL4J (Deeplearning for Java) – Getting Started. August 26, 2015. October 7, 2015. ND4J, Canova & DL4J. Introduction to the Deeplearning tripod. Set-up using the command prompt. That’s right, ND4J itself is a consolidation of well established and highly opti...
deeplearning4j.org
Quick Start Guide for Deeplearning4j - Deeplearning4j: Open-source, distributed deep learning for the JVM
http://deeplearning4j.org//quickstart.html
Quick Start Guide for Deeplearning4j. This is everything you need to run DL4J examples and begin your own projects. We recommend that you join our Gitter Live Chat. Gitter is where you can request help and give feedback, but please do use this guide before asking questions we’ve answered below. If you are new to deep learning, we’ve included a road map for beginners. With links to courses, readings and other resources. A Taste of Code. Which organizes those layers and their hyperparameters. You should ha...
deeplearning4j.org
Word2vec: Neural Word Embeddings in Java - Deeplearning4j: Open-source, distributed deep learning for the JVM
http://deeplearning4j.org/word2vec.html
Word2vec: Neural Word Embeddings in Java. Just Give Me the Code. Setup, Load and Train. Troubleshooting and Tuning Word2Vec. GloVe (Global Vectors) and Doc2Vec. Word2vec is a two-layer neural net that processes text. Its input is a text corpus and its output is a set of vectors: feature vectors for words in that corpus. While Word2vec is not a deep neural network. It turns text into a numerical form that deep nets can understand. Deeplearning4j. Implements a distributed form of Word2vec for Java and Scala.
deeplearning4j.org
Deep Autoencoders - Deeplearning4j: Open-source, distributed deep learning for the JVM
http://deeplearning4j.org/deepautoencoder.html
A deep autoencoder is composed of two, symmetrical deep-belief networks. That typically have four or five shallow layers representing the encoding half of the net, and second set of four or five layers that make up the decoding half. The layers are restricted Boltzmann machines. The building blocks of deep-belief networks, with several peculiarities that we’ll discuss below. Here’s a simplified schema of a deep autoencoder’s structure, which we’ll explain below. Processing the benchmark dataset MNIST.
deeplearning4j.org
Convolutional Networks in Java - Deeplearning4j: Open-source, distributed deep learning for the JVM
http://deeplearning4j.org/convolutionalnets.html
Convolutional Networks in Java. Images Are 4-D Tensors? How Convolutional Nets Work. Convolutional nets can be used to classify images (name what they see), cluster them by similarity (photo search), and perform object recognition within scenes. They can identify faces, individuals, street signs, eggplants, platypuses and many other aspects of visual data. Get Started With Deeplearning4j. Images Are 4-D Tensors? And a matrix is a rectangular grid of numbers occupying several rows and columns like a sprea...
deeplearning4j.org
A Beginner's Tutorial for Restricted Boltzmann Machines - Deeplearning4j: Open-source, distributed deep learning for the JVM
http://deeplearning4j.org//restrictedboltzmannmachine.html
A Beginner's Tutorial for Restricted Boltzmann Machines. A Beginner’s Tutorial for Restricted Boltzmann Machines. Code Sample: Initiating an RBM on Iris With DL4J. Invented by Geoff Hinton, a Restricted Boltzmann machine is an algorithm useful for dimensionality reduction, classification, regression. Collaborative filtering, feature learning and topic modeling. (For more concrete examples of how neural networks. Like RBMs can be employed, please see our page on use cases. Get Started With Deeplearning4j.
deeplearning4j.org
Iterative Reduce With DL4J on Hadoop and Spark - Deeplearning4j: Open-source, distributed deep learning for the JVM
http://deeplearning4j.org//iterativereduce.html
Iterative Reduce With DL4J on Hadoop and Spark. Iterative Reduce With DL4J on Hadoop and Spark. Understanding Iterative Reduce is easier if you start with its simpler predecessor, MapReduce. MapReduce is a technique for processing very large datasets simultaneously over many cores. Jeff Dean of Google introduced the method in a 2004 research paper. And Doug Cutting implemented a similar structure a year later at Yahoo. Cutting’s project would eventually become Apache Hadoop. Consolidates all those scatte...
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