This is the code for my IB Extended Essay in Computer Science
-
Updated
Aug 27, 2023 - Python
This is the code for my IB Extended Essay in Computer Science
Keras를 활용한 손글씨 교정 사이트 (‘20 제 14회 공개 SW 개발자 대회)
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
A deep learning model deployed as a web app to classify handwritten digits and letters using the EMNIST dataset
Teaching a neural network how to write letters and digits with reinforcement learning.
Projekti rađeni u programskom jeziku Python. Svi projekti su vezani uz tematiku podatkovne analitike i podatkovne znanosti.
2020/2021 sem 2 - Neural Network Individual Assignment Project - EMNIST prediction - Predict and evaluate the output of model trained using multiple MLP model created by using the EMNIST datasets.
User handwriting recognition app using a CNN trained on the EMNIST ByClass dataset
Machine learning models.
Digits Recognizer using correlation and similarity methods in MNIST Letters dataset.
# OCR with EAST Text Detection , contour and EMNIST Character Recognition
Dask-parallelized project, contrasting GaussianNB and LightGBM models for EMNIST handwritten character classification.
generate arbitrary handwritten letter/digits based on the inputs
Classify the handwritten letters EMNIST
Exploring advanced autoencoder architectures for efficient data compression on EMNIST dataset, focusing on high-fidelity image reconstruction with minimal information loss. This project tests various encoder-decoder configurations to optimize performance metrics like MSE, SSIM, and PSNR, aiming to achieve near-lossless data compression.
A simple NN word recognizer based on the EMNIST dataset
This is a simple app to predict the alphabet that is written on the screen using an object of interest.
Library to read the EMNIST and MNIST data sets
Add a description, image, and links to the emnist-dataset topic page so that developers can more easily learn about it.
To associate your repository with the emnist-dataset topic, visit your repo's landing page and select "manage topics."