ENVI Deep Learning 1.0 Release Notes
This is the initial release of ENVI Deep Learning.
You must have ENVI 5.5.2 installed and licensed on your system.
Refer to the Deep Learning Help for instructions on using the tools and API. Access the help as follows:
- Windows: Go to the Start menu and select Programs > ENVI 5.5 > Help > ENVI Deep Learning 1.0 Help.
- Linux: Type
envideeplearninghelp in a terminal window.
Supported Platforms
The following table lists the platforms that the current version of ENVI Deep Learning supports:
| Platform |
Hardware |
Operating System |
Supported Versions |
| Windows |
Intel/AMD 64-bit |
Windows |
10, 2016 Server |
| UNIX |
Intel/AMD 64-bit |
Linux |
Kernel 3.10 or higher, glibc 2.17 or higher |
Supported versions indicate that ENVI Deep Learning was either built on or tested on that version.
ENVI Deep Learning uses TensorFlow™ technology. TensorFlow has a minimum set of hardware and software requirements. The following NVIDIA® software must be installed on your system. You will need to install the software yourself; the links to download it are provided here:
To determine if your system meets the requirements for ENVI Deep Learning, start the Deep Learning Guide Map in the ENVI Toolbox. From the Deep Learning Guide Map menu bar, select Tools > Test Installation and Configuration.
A minimum of 8 GB of GPU memory is recommended, particularly when training deep learning models.
You can run ENVI Deep Learning using a CPU as long as it meets the NVIDIA driver version requirements (384.x or higher); however, this is not recommended because training and other processes will be significantly slower compared to using a GPU.