Hyper Parameter is playing a major role in Training time and quality of inference. Thus, domain experts appear to be playing a major role in setting up these parameters,  But domain experts also new to Hyper parameters and its associated quality of inference,   There is a challenge in setting up Hyper parameters. 

 In this aspect, DLtrain  is providing minimal hyper parameter options to domain experts such that, it enables domain expert  to learn quickly and take full control of training aspect of CNN model with training data

DLtrain is used to train CNN  

Training CNN Model by using DLtrain

Inference on given image by using DLtrain

2. x86 CPU (ubuntu)  

DLtrain is used to train CNN  

Training NN Model by using DLtrain (DLtrainY19 version )

Inference on given image by using DLtrain  (DLtrainY19 version )

Training CNN Model by using DLtrain (current version (after DLtrainY19 )

3. Jetson Series SOM ( Nano, NX etc)

DLtrain is used to train CNN  

Training CNN Model by using DLtrain  (current version (after DLtrainY19 )

4. x86 CPU (Windows)  

DLtrain is used to train CNN  

Training CNN Model by using DLtrain (current version (after DLtrainY19 )