sample_embedding_folder2/0694190.txt

Ticket Name: TDA2: TIDL: Using Caffe_Jacinto framework

Query Text:
Part Number: TDA2 I want to get the Caffe-jacinto framework and run training on out custom dataset. So train around for 100 images, Will we be needing a GPU or a simple non-GPU system will work.

Responses:
You can get the caffe-jacinto framework and scrits by clonning the following two repositories: github.com/.../caffe-jacinto github.com/.../caffe-jacinto-models Please navigate to those links in your browser and read through the documentation provided to understand the usage. If you face any specific issue related to the code or scripts, you can file an issue using the github repository "issues" link in the above repositories.

Yes, I understand that. I wanted know if a system without a GPU is used, approximately how long it'll take to train for say 100 images? Is it recommended.

Training on CPU can be 30x or more slower compared to training on GPU. Exactly how much time will be needed will depend on the size of the image, complexity of the network and the problem that you are trying to solve. Why don't you try to train on CPU - that will give you an estimate of the time required. But whether you conclude to use CPU or GPU for training, I would highly recommend to more images for training. Deep learning cannot learn to generalize with just 100 images and any model or conclusion that you make using that dataset may not work outside the laboratory.