Added screenshot and improved desc. Fixes #853 (#854)

* WIP #853 Added overview screenshot

* Update README.md

* Update README.md
Esse commit está contido em:
Brian Broll
2016-10-28 17:51:48 -04:00
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src/worker/tmp
.env
*.swp
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**.sass-cache
# Logs
logs
*.log
# Runtime data
pids
*.pid
*.seed
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# node-waf configuration
.lock-wscript
# Compiled binary addons (http://nodejs.org/api/addons.html)
build/Release
# Dependency directory
# https://www.npmjs.org/doc/misc/npm-faq.html#should-i-check-my-node_modules-folder-into-git
node_modules
tmp/
test-tmp/
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src/seeds/nn/hash.txt
src/seeds/pipeline/hash.txt
# docs
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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!
# DeepForge
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:
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.
![overview](images/overview.png "")
Additional features include:
- Graphical architecture editor
- Training/testing pipeline creation
- Distributed pipeline execution
- Real-time pipeline feedback
- Collaborative editing
- Automatic version control.
- Facilitates defining custom layers
## Quick Start
Simply run the following command to install deepforge with its dependencies:
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