Deep Learning & Analytics
Overview
An analytic is a neural network, deep learning model, or analytical model that can be used to predict or classfiy data such as images, audio, text, and more.
The analytics library provides many open source examples of analytics for image classifcation and other usages.
You can create your own analytic and upload a binary network file such as a python .pb file that represents your model.
Creating
You can create your own analytic from the
browse
analytics page. To create a analytic, just give it a name, description, and category to categorize it under.
You can either make the analytic private and choose who can access it, or make it public and accessible by anyone.
Properties
| Properties |
Description |
| Analytic Name |
Enter a analytic name. |
| Description |
Optional description. |
| Details |
You can enter optional additional information. |
| Disclaimer |
You can enter optional legal information. |
| License |
Optional license to release the analytic and all of its content under. |
| Website |
If this analytic has its own website, you can enter it here. |
| Website Subdomain (or domain) |
You can choose a subdomain to host your analytic's own website, or give a domain that you have registered and forward to this server. |
| Categories |
Comma separated list of categories to categorize the analytic under. |
| Tags |
Optional comma separated list of tags to tag the analytic under. |
| Private |
A private analytic is not visible to the public, only to the user and users grant access. |
| Hidden |
A hidden analytic is not displayed in the browse directory. |
| Access Mode |
Define who can access this analytic. |
| Fork Access Mode |
Define who can fork(copy) this analytic. |
| Content Rating |
Rate the analytic. |
| Ad Code |
You can display ads on your analytic's pages. |
Analytic Network
The analytic network editor allows you to configure and to upload or import the required files for both graph and labels for your analytic.
Currently the analytic network binary file must be a python Tensorflow .pb file. Support for other network types will be added in the future.
The labels file is a text file that matches the binary network's output.
Network
| Properties |
Description |
| Analytic Type |
Types of analytic (inception_v3, mobilenet_0.25, mobilenet_0.50, mobilenet_0.75, mobilenet_1.0) |
| Analytic Image Size |
Set the image size of the trained images |
| Analytic Feed |
The input name used while training the images |
| Analytic Fetch |
The output name used while training the images |
Network (Buttons)
| Icon |
Property Name |
Description |
 |
Save |
Save the current changes. |
 |
Upload |
Upload graph .pb file. |
 |
Download |
Download the current uploaded graph. |
 |
Delete |
Delete the uploaded graph. |
Labels
| Properties |
Description |
| Text Area |
Displaying the labels saved in the uploaded text file. |
Labels (Buttons)
| Icon |
Property Name |
Description |
 |
Save |
Save the current changes. |
|
Upload |
Upload graph .pb file. |
|
Download |
Download the current uploaded graph. |
Custom Tensorflow and Bot Libre Analytic Networks
The custom analytic network editor allows you to configure and to upload or import the required files for both graph and labels for a custom analytic.
Currently the analytic network binary file must be a .h5 file for a custom Tensorflow network, or a .ser file for a Bot Libre network.
There should be no labels or properties.
Custom networks can be trained and tested using the Web API.
Network
| Properties |
Description |
| Input Nodes |
Number of input nodes |
| Output Nodes |
Number of output nodes |
| Intermediate Nodes |
Number of nodes in each intermediate layer |
| Intermediate Layers |
Number of intermediate layers |
| Activation Function |
The activation function used for each layer |
Network (Buttons)
| Icon |
Property Name |
Description |
|
Save |
Save the current changes. |
 |
Reset Network |
Reset the custom network by making a new network with the configurations above. |
|
Upload |
Upload graph .h5 or .ser file. |
|
Download |
Download the current uploaded graph. |
|
Delete |
Delete the uploaded graph. |
Analytic Repository
The Analytic Repository allows you to add a label and import images inside one of each label labels.
Labels
| Icon |
Property Name |
Description |
|
Delete |
Delete the selected label. |
 |
Add |
Add a label |
| Properties |
Description |
| Labels |
Select a label |
Add Label
| Properties |
Description |
| Add label |
Add a label to the list |
Analytic Training
Training images.
Training Network
| Properties |
Description |
| Start |
Training will start based on availability. This might take several hours. |
Analytic Testing
Testing images.
Test Network
| Properties |
Description |
| Start |
Testing will start based on availability. |
See Also
