* WIP #853 Added overview screenshot * Update README.md * Update README.md
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src/worker/tmp
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.env
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*.swp
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*.swo
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**.sass-cache
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# Logs
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logs
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*.log
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# Runtime data
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pids
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*.pid
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*.seed
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# Directory for instrumented libs generated by jscoverage/JSCover
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lib-cov
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# Coverage directory used by tools like istanbul
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coverage
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# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
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.grunt
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# node-waf configuration
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.lock-wscript
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# Compiled binary addons (http://nodejs.org/api/addons.html)
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build/Release
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# Dependency directory
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# https://www.npmjs.org/doc/misc/npm-faq.html#should-i-check-my-node_modules-folder-into-git
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node_modules
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tmp/
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test-tmp/
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blob-local-storage/
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src/seeds/nn/hash.txt
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src/seeds/pipeline/hash.txt
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# docs
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images/
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**Notice**: DeepForge is still a work in progress and in beta! That being said, any contributions and/or feedback is greatly appreciated. If you have any questions, check out the [wiki](https://github.com/dfst/deepforge/wiki/) or drop me a line on the gitter!
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# DeepForge
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DeepForge is an open-source visual development environment for deep learning. Currently, it supports Convolutional Neural Networks, RNNs and LSTMs as well as the creation of custom layers. Additional features include:
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DeepForge is an open-source visual development environment for deep learning providing end-to-end support for creating deep learning models. This is achieved through providing the ability to design **architectures**, create training **pipelines**, and then execute these pipelines over a cluster. Using a notebook-esque api, users can get real-time feedback about the status of any of their **executions** including compare them side-by-side in real-time.
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Additional features include:
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- Graphical architecture editor
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- Training/testing pipeline creation
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- Distributed pipeline execution
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- Real-time pipeline feedback
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- Collaborative editing
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- Automatic version control.
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- Facilitates defining custom layers
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## Quick Start
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Simply run the following command to install deepforge with its dependencies:
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