A first version of the Cuda integration is now used on HAIBAL to allow you to get the best out of your NVIDIA graphics...
The Cuda integration v2
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Status update #2 | CUDA and OneDNN
HAIBAL deep learning library for LabVIEW is still under devellopment. Our team worked last week on the integration of...
Status update #1 | Architecture
As we have recently decided to better communicate on the HAIBAL project by making a weekly status, I will start this...
LabVIEW Deep Learning Library Architecture
The LabVIEW HAIBAL software library includes a complete basic development kit to seamlessly create accelerated deep...
Example on the MNIST
BASIC NUMBER RECOGNITION EXEMPLE This example, implemented natively in the HAIBAL library, aims to understand how to...
Official Release date
RELEASE DATE As we have finished the functional part of the library and are starting to work on the optimization part...
Importing a Tiny YoloV3 Model from Keras
A LITTLE HISTORY In 2016 Redmon, Divvala, Girschick and Farhadi revolutionized object detection with a paper...
LabVIEW Deep Learning Library
By persevering, we can achieve anything. It’s hot but we are getting there. 8 months ago, PyTorch (Meta)...
Importing a VGG 16 model from Keras
A LITTLE HISTORY VGGÂ is a convolutional neural network proposed by K. Simonyan and A. Zisserman from Oxford University...
Coding of deep learning layers in labview
All layer are now coded in native LabVIEW. First test of importe HDF5 from Keras Tensorflow and a graph generator...
Making our first convolution in LabVIEW
After testing our first full connected neural network, we are now able to do our first 2D convolution in LabVIEW. Now...
Launch of HAIBAL’s development
Every journey has a beginning and let's bet that we will succeed in developing a complete deep learning library that...