An end to end deep learning project made by using streamlit for predicting handwritten drawn digits/alphabets via CNN & ANN.

Sudoku grid and digits detection

GAN to generate number images

This project is the implementation of the sudoku solver using computer vision & backtracking algorithm

Digit recognition (MNIST dataset) using a fully connected neural network (97+ on test)

Digit detection using Singular Value Decomposition

Classification of digits in MNIST dataset

Digit recognition with tensorflow

Domain Adaptation for digits classification using Deep Reconstruction-Classification Network

A project allowing to recognize handwritten numbers in the range 0-9.

Sudoku solver using OpenCV’s DNN

A Simple Handwritten Digits Classication