GUI-based software for training, evaluating and applying deep neural nets for image classification
This is an update for AIDeveloper 0.2.0. Please first install AIDeveloper 0.2.0. Within AIDeveloper 0.2.0 go to the Menu 'Help'->'Check for updates' and use the dropdown-menu on the right to select an update file. After clicking 'Download + Install' restart AIDeveloper and the voila, the update is done.
Bugfixes
This is an update for AIDeveloper 0.2.0. Please first install AIDeveloper 0.2.0. Within AIDeveloper 0.2.0 go to the Menu 'Help'->'Check for updates' and use the dropdown-menu on the right to select an update file. After clicking 'Download + Install' restart AIDeveloper and the voila, the update is done.
Bugfixes
This is an update for AIDeveloper 0.2.0. Please first install AIDeveloper 0.2.0. Within AIDeveloper 0.2.0 go to the Menu 'Help'->'Check for updates' and use the dropdown-menu on the right to select an update file. After clicking 'Download + Install' restart AIDeveloper and the voila, the update is done.
New features
Bugfixes
New rapid update feature! Within AIDeveloper go to 'Help'->'Check for updates' to download and install updates. After that you only need to restart AIDeveloper.
Limitation of the GPU Version: Only NVIDIA GPUs with a compute capability>3.7 are supported. What is my compute capability? AID was tested on multiple Systems with different GPUs. On most systems, AID only worked after the 2nd start. If AID crashes or does not detect your GPU, you may need to update your GPU driver. If you still have issues with the GPU based version, you may go for the CPU based version. Mac Compatibility: Only MacOS>=10.15.3
New features
Bugfixes
Limitation of the GPU Version: Only NVIDIA GPUs with a compute capability>3.7 are supported. What is my compute capability? AID was tested on multiple Systems with different GPUs. On most systems, AID only worked after the 2nd start. If AID crashes or does not detect your GPU, you may need to update your GPU driver. If you still have issues with the GPU based version, you may go for the CPU based version. Mac Compatibility: Only MacOS>=10.15.3
LR screening
Model training
Loading and saving sessions
New pre-trained models
Bug fixes
Limitation of the GPU Version: Only NVIDIA GPUs with a compute capability>3.7 are supported. What is my compute capability? AID was tested on multiple Systems with different GPUs. On most systems, AID only worked after the 2nd start. If AID crashes or does not detect your GPU, you may need to update your GPU driver. If you still have issues with the GPU based version, you may go for the CPU based version. Mac Compatibility: Only MacOS>=10.15.3
Additions to the "Expert" menu:
As usual, those settings are tracked in the meta-file and can be changed during training.
Limitation of the GPU Version: Only NVIDIA GPUs with a compute capability>3.7 are supported. What is my compute capability? AID was tested on multiple Systems with different GPUs. On most systems, AID only worked after the 2nd start. If AID crashes or does not detect your GPU, you may need to update your GPU driver. If you still have issues with the GPU based version, you may go for the CPU based version. Mac Compatibility: Only MacOS>=10.15.3
Limitation of the GPU Version: Only NVIDIA GPUs with a compute capability>3.7 are supported. What is my compute capability? AID was tested on multiple Systems with different GPUs. On some systems, AID only worked after the 2nd start. If AID crashes or does not detect your GPU, you may need to update your GPU driver. If you still have issues with the GPU based version, you may go for the CPU based version. Mac Compatibility: Only MacOS>=10.15.3
Limitation of the GPU Version: Only NVIDIA GPUs with a compute capability>3.7 are supported. What is my compute capability? AID was tested on multiple Systems with different GPUs. On some systems, AID only worked after the 2nd start. If AID crashes or does not detect your GPU, you may need to update your GPU driver. If you still have issues with the GPU based version, you may go for the CPU based version.
Special thanks to @alfrem for running hundreds of tests for the Multi-GPU options!