3 docs tagged with "pytorch"

Backbones are also referred to as Feature Extractors in a 2D Convolutional Neural Network. At GQC, we have explored different backbones ranging from ResNet18, 34, 50 and 101.

We use fastai to train majority of the CCTV AI models. The fastai framework was chosen as it a gave a nice wrapper around pytorch and allowed us to use best practices with the training routines.

Loss functions guide your optimizer to take a step in the correct direction (direction of the global minima). For different tasks, different loss functions are used.