AI Designer Personal Edition (1 year) License Key

Use your personal subscription license key to enable the full features of the SignalPop AI Designer – Personal Edition.  Your personal subscription license key will last for 12 months.

The SignalPop AI Designer is an AI development environment that helps develop, build, train, test and debug your MyCaffe AI models.

Several of the features of the SignalPop AI Designer are:

1.) Easy dataset creation and management.

Dataset Creation

2.) Visual dataset analysis via Iterative PCA or t-SNE algorithms.

Visual Dataset Analysis

3.) Visual editing of your model via drag-n-drop operations.

Visual Model Editing

4.) Visual blob debugging which allows you to view the contents of a blob’s data and diff values flowing between layers.

Blob Data/Diff Debugging

5.) Visual layer debugging which allows you to view the contents of a layer visually.

Visual Layer Debugging

6.) Real-time debugging which allows you to view the data flowing through your network as you train.

Real-time debugging

7.) Visual debugging via deconvolution and un-pooling.

Visual Debugging with Deconvolution and UnPooling

8.) Deep dream generation over multiple octaves.

Deep Dream Generation

9.) Unlimited training time, including multi-gpu based training on headless GPU’s using NCCL.

And much more! 

For a limited time only, the 1-year license keys purchased for the pre-release product will work with the release version and updates as well.  Get it now, for the release price will only go up!

Minimum System Requirements

The SignalPop AI Designer is built for Windows developers running on either Windows 7 or Windows 10 PC’s that have at least one NVIDIA CUDA based GPU installed. With that in mind the minimum requirements for the SignalPop AI Designer are as follows:

Operating System: 64-bit Windows 10 or Windows 7
System Memory (PC side): at least 8 GB
Hard Disk Space: 10 GB free disk space (an SSD is recommended)
GPU Model: NVIDIA 750TI or above (requires CUDA support and the latest NVIDIA driver)
GPU Memory: 2 GB (4 GB or more is recommended)
Multi-GPU Training: requires at least two headless GPU’s that meet the GPU minimum system requirements above.
Database: Microsoft SQL or SQL Express 2008 R2 or above (Microsoft SQL or SQL Express 2016 and above is recommended on Windows 10) running in Windows Authentication Mode.

Enhancements in this Release

Supports: CUDA 9.2, cuDNN 7.1.4, NVIDIA driver 397.93

1.) Supports source and target Datasets.
2.) MNIST Dataset Creator now creates overlaid datasets.
3.) Support for Domain-Adversarial Neural Networks (DANN).
4.) Enhanced Neural Network Debugging with single-stepping.
5.) Blob Data visualization in real-time.
6.) Blob Diff visualization in real-time.