A numpy based CNN implementation for classifying images

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Implemented the Deep Residual Learning for Image Recognition Paper and achieved better accuracy by customizing different parts of the architecture.

Standard Deep Learning Models implemented in pytorch framework

CIFAR-10 Image Classification with numpy only

CIFAR-10 classification solved with 90% validation accuracy using DenseNet in 50 epochs