Regularization in Neural Networks

Regularization in Neural Networks In Deep Learning it is necessary to reduce the complexity of model in order to avoid the problem of overfitting. Also, the model should be able to generalize well. This problem can be solve by using regularization techniques. Technically, overfitting harms the generalization. So, our primary goal is to solve theContinue reading “Regularization in Neural Networks”

Literature Review on You Only Look Once Model

We sees an image and instantly know what objects are in the image and where they are unlike machines. The human visual system is fast and accurate. Every AI researcher is struggling to find an efficient method for real time object detection. In 2015 researchers from Allen institute for AI, University of Washington, and FacebookContinue reading “Literature Review on You Only Look Once Model”

YOLO : Real Time Object Detection

We sees an image and instantly know what objects are in the image and where they are unlike machines. The human visual system is fast and accurate. Every AI researcher is struggling to find an efficient method for real time object detection. In 2015 researchers from Allen institute for AI, University of Washington, and FacebookContinue reading “YOLO : Real Time Object Detection”