Fig. 5.
The accuracy of network on transformed images for time frame of (a) 1 sec, (b) 2 sec, and (c) 4 sec. After initializing the GoogleNet with known biases and weights, 16 images (minibatch) were passed through the network. Using the forward calculation, the class levels (predicted level) of those 16 images were found. The training or validation accuracies are calculated as the total number of correct predictions divided by the total number of images.