fixed minor grammatical and spelling mistakes#493
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llucifer97 wants to merge 10 commits intoCloud-CV:masterfrom
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Open
fixed minor grammatical and spelling mistakes#493llucifer97 wants to merge 10 commits intoCloud-CV:masterfrom llucifer97:master
llucifer97 wants to merge 10 commits intoCloud-CV:masterfrom
llucifer97:master
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@Ram81 Please review the PR. |
Ram81
requested changes
Dec 8, 2018
| * Under ``` Social Accounts ```, open ``` Social applications ``` and click on ``` Add Social Application ```. | ||
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| * Choose the ``` Provider ``` of social application as ``` Github ``` and name it ``` Github ```. | ||
| * Choose the ``` Provider ``` of the social application as ``` Github ``` and name it ``` Github ```. |
| * Under ```Social Accounts``` open ``` Social applications ```, click on ``` Add Social Application ```. | ||
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| * Choose the ``` Provider ``` of social application as ``` Github ``` & name it ``` Github ```. | ||
| * Choose the ``` Provider ``` of the social application as ``` Github ``` & name it ``` Github ```. |
| Attached code requires [common dependencies](../../requirements/common.txt), plus `networkx` and `pydot` Python packages. | ||
| ## Problem | ||
| Currently there's no tools for drawing Fabrik neural network diagram directly, without need to do it by hand. This research observes some ways to implement such function. | ||
| Currently, there are no tools for drawing Fabrik neural network diagram directly, without the need to do it by hand. This research observes some ways to implement such function. |
| These methods share the common weakness: they cannot draw unsupported layers. For example, Keras cannot draw LRN layer. Also, they could be implemented in backend only. | ||
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| Note that all tools can implemented with algorithms of conversion Fabrik net to framework model directly, without creating model files. | ||
| Note that all tools can implement with algorithms of conversion Fabrik net to framework model directly, without creating model files. |
| If we dig inside Fabrik a little deeper, we find out that Fabrik stores neural network inside state as JS object. There are obtained sample net representation in `state_net.json`. It's Lenet MNIST with some layers deleted. | ||
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| The only step to do is to draw graph based on this data. There are lots of ways, including [NN-SVG](https://github.com/zfrenchee/NN-SVG). Also a lot of different [JS libraries](https://stackoverflow.com/questions/7034/graph-visualization-library-in-javascript) and [other tools](https://www.quora.com/What-tools-are-good-for-drawing-neural-network-architecture-diagrams). In order to keep it simple, I created `draw_graph.py` that outputs pictured neural network with layer types and shapes. It uses [networkx](https://networkx.github.io/) for storing graph and pydot for visualisation, so it looks like Caffe's and Keras' network diagrams. | ||
| The only step to do is to draw a graph based on this data. There are lots of ways, including [NN-SVG](https://github.com/zfrenchee/NN-SVG). Also a lot of different [JS libraries](https://stackoverflow.com/questions/7034/graph-visualization-library-in-javascript) and [other tools](https://www.quora.com/What-tools-are-good-for-drawing-neural-network-architecture-diagrams). In order to keep it simple, I created `draw_graph.py` that outputs pictured neural network with layer types and shapes. It uses [networkx](https://networkx.github.io/) for storing graph and pydot for visualization, so it looks like Caffe's and Keras' network diagrams. |
| * ```changeHoveredLayer``` - changes which layer has the hover class on it, which outlines layer to emphasize a "hover" | ||
| * layerId | ||
| * ```modifyLayer``` - modifies layer, passed in layer is the new layer, and layer id is the id it needs to be replaced at. | ||
| * ```modifyLayer``` - modifies a layer, passed in the layer is the new layer, and layer id is the id it needs to be replaced at. |
| * ```exportNet``` - AJAXs to backend and then passes back error/success | ||
| * framework | ||
| * ```importNet``` - AJAXs to backend and then passes back error/success | ||
| * ```importNet``` - AJAXs to the backend and then passes back error/success |
| ```toggleClass``` toggles classes for the dropdown on the sidebar for layer selection. | ||
| ### ```paneElement.js``` | ||
| ```paneElement.js``` renders out each element of the pane, it is invoked by ```pane.js``` | ||
| ```paneElement.js``` render out each element of the pane, it is invoked by ```pane.js``` |
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