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Ahmed Cheikh Sidiya's Projects

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cnn-from-scratch icon cnn-from-scratch

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

deeplearning-mnist-handwritting icon deeplearning-mnist-handwritting

Image recognition project using the NVIDIA DIGITS environment to train a GoogLeNet CNN to accurately identify handwritten characters

ethereum-charity-donation-dapp icon ethereum-charity-donation-dapp

Building an application to create a payment portal for charity organisations. The app will be built on an ethereum test network.

handwritingrecognition-cnn icon handwritingrecognition-cnn

This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.

imgur5k-handwriting-dataset icon imgur5k-handwriting-dataset

IMGUR5K handwriting set. It is a handwritten in-the-wild dataset, which contains challenging real world handwritten samples from different writers.The dataset is shared as a set of image urls with annotations. This code downloads the images and verifies the hash to the image to avoid data contamination.

manuscripts-classification-using-convolutional-deep-learning-networks icon manuscripts-classification-using-convolutional-deep-learning-networks

The thesis concentrates on improving recognition performance for small datasets using convolutional neural networks (CNN). Specifically, it is about type classification of handwritings in Latin. The main topics are the use of pre-training and the influence of pre-training on augmented datasets. In the thesis, the impact of learning-rate changes and also the effect of fixing weights in several layers of the beginning of the network are examined. Last but not least, there is space devoted to preprocessing of the dataset using whitening. The whitening is used in the context of individual images.

mnist_challenge icon mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

mnist_tutorial icon mnist_tutorial

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

ubereats icon ubereats

Uber Eats clone with React Native and AWS Amplify

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