Multi-class classification using Convolutional Neural Networks
Dataset
It contains images of different sizes of 3 classes, viz. Butterfly, Leopard and Piano. The dataset is a subset of Cifar-10 dataset.
Problem Statement
To classify the images into their corresponding classes.
Visualization-Filters and Convolution outputs ->
The code intializes the filters using Kaiming initialization, perfroms convolution and visualizes them, all from scratch using Python.
Image_Classifier.ipynb ->
The code for performing image classification using convolutional neural network.
Shivani-15/Image-Classifier-
Multi-class classification using Convolutional Neural Networks
Jupyter Notebook