Category: Computer Vision

Plotting Activation Functions & Gradients in Neural Networks

Activation Functions: All neural network layers’ outputs must get passed through activation functions. These are usually non-linear and allow a neural network to learn even highly non-linear output mappings from input. This post tries to serve as a central place to get a graphical understanding of most common activation function in neural networks. I am…


TridentNet Explained

Share on Facebook Share on Twitter Share on Pinterest Share on Linkedin Share on Reddit TridentNet attempts to tackle the problem of multi-scale objects in 2D images through dilated convolutions. The changes are applied on Faster-RCNN, hence one must have at least a basic understanding of two-stage object detectors (e.g. Faster-RCNN) first to understand TridentNet….