A Convolutional Neural Network is a Deep Learning algorithm which can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image and be able to differentiate one from the other.
The role of the Cnn is to reduce the images into a form which is easier to process, without losing features which are critical for getting a good prediction.
This repository contains,
1.Basics of cnn
2.Forward and backward function of cnn from scratch
3.Cnn on text classification
https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53
https://pytorch.org/docs/stable/nn.html#conv1d
https://becominghuman.ai/back-propagation-in-convolutional-neural-networks-intuition-and-code-714ef1c38199
http://www.joshuakim.io/understanding-how-convolutional-neural-network-cnn-perform-text-classification-with-word-embeddings/
https://mlwhiz.com/blog/2019/03/09/deeplearning_architectures_text_classification/