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ELEKTRONN - Convolutional Neural Network Toolkit in Python. Fast GPU acceleration and easy usage.

A configurable toolkit for 3D/2D Convolutional Neural Networks (CNN). CNNs are used in Machine Learning to solve difficult classification and regression tasks. ELEKTRONN is based on Theano and benefits from fast GPU implementations. This toolkit was created by Marius Killinger and Gregor Urban at the Max Planck Institute For Medical Research For Medical Research to solve connectomics tasks. We provide a ready-made flexible training pipeline and comprehensive documentation.

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ELEKTRONN - Convolutional Neural Network Toolkit in Python. Fast GPU acceleration and easy usage. | elektronn.org Reviews

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A configurable toolkit for 3D/2D Convolutional Neural Networks (CNN). CNNs are used in Machine Learning to solve difficult classification and regression tasks. ELEKTRONN is based on Theano and benefits from fast GPU implementations. This toolkit was created by Marius Killinger and Gregor Urban at the Max Planck Institute For Medical Research For Medical Research to solve connectomics tasks. We provide a ready-made flexible training pipeline and comprehensive documentation.

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ELEKTRONN - Convolutional Neural Network Toolkit in Python. Fast GPU acceleration and easy usage. | elektronn.org Reviews

https://elektronn.org

A configurable toolkit for 3D/2D Convolutional Neural Networks (CNN). CNNs are used in Machine Learning to solve difficult classification and regression tasks. ELEKTRONN is based on Theano and benefits from fast GPU implementations. This toolkit was created by Marius Killinger and Gregor Urban at the Max Planck Institute For Medical Research For Medical Research to solve connectomics tasks. We provide a ready-made flexible training pipeline and comprehensive documentation.

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elektronn.org

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ELEKTRONN - Convolutional Neural Network Toolkit in Python. Fast GPU acceleration and easy usage.

http://elektronn.org/about

The people behind ELEKTRONN. Was created by Marius Killinger. Max Planck Institute For Medical Research. In Heidelberg and the. Max Planck Institute Of Neurobiology. In Munich in the department of Winfried Denk to solve connectomics tasks. Prediction of TB-sized image datasets, developer, recursive training. Academic supervisor, weak training regulariser. Creation of initial code (at Fred Hamprecht’s lab), many helpful discussions, lazy labels. Code refactoring, testing, packaging. Special Thanks to: cake.

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ELEKTRONN - Convolutional Neural Network Toolkit in Python. Fast GPU acceleration and easy usage.

http://elektronn.org/development

Is developed as a scientific open source project and released under the GPL. We are happy to receive chat. Contributions to make ELEKTRONN. Better or to answer questions. The latest code version. Filing Bug reports / issues. Collaboration to improve ELEKTRONN. Testing of windows support. Transformation of main sections to unit tests.

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Welcome to the ELEKTRONN documentation! — ELEKTRONN

http://elektronn.org/documentation

Welcome to the ELEKTRONN documentation! Welcome to the ELEKTRONN documentation! ELEKTRONN is a highly configurable toolkit for training 3D/2D CNNs and general Neural Networks. The package includes a sophisticated training pipeline designed for classification/localisation tasks on 3D/2D images. Additionally, the toolkit offers training routines for tasks on non-image data. It is written in Python 2 and based on theano. Which allows CUDA-enabled GPUs to significantly accelerate the pipeline. Common activat...

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ELEKTRONN - Convolutional Neural Network Toolkit in Python. Fast GPU acceleration and easy usage.

http://elektronn.org/getting-started

Learn how to use ELEKTRONN. Is a Python 2.7 package that can be installed with conda. How do you use ELEKTRONN. For your data analysis task? Read our basic recipe. Or try out one of the examples. For an application on 3D image data, head to the Documentation. Full documentation, including many tips for training, can be found here:. Can be used for. A comfortable way to setup a python environment with common scientific python packages, as needed by ELEKTRONN. Is the Anaconda distribution. VIDEO Tutorial b...

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Softwares for Machine Learning | LTP Robotics-Make Robots Think-Birotic Ltd,

https://danangcity45.wordpress.com/2016/09/27/softwares-for-machine-learning

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ELEKTRONN - Convolutional Neural Network Toolkit in Python. Fast GPU acceleration and easy usage.

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