This is the code for my IB Extended Essay in Computer Science
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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
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.
TextToHandwriting tool
User handwriting recognition app using a CNN trained on the EMNIST ByClass dataset
Machine learning models.
Classify the handwritten letters EMNIST
# OCR with EAST Text Detection , contour and EMNIST Character Recognition
Dask-parallelized project, contrasting GaussianNB and LightGBM models for EMNIST handwritten character classification.
Evaluating the accuracy with different CNN kernel sizes for the EMNIST Balanced dataset
A simple NN word recognizer based on the EMNIST dataset
Library to read the EMNIST and MNIST data sets
Text extraction using pytorch
This project aims to implement AI-driven letter recognition using neural network libraries and the EMNIST dataset. By employing deep learning and data preprocessing, we seek to build a versatile system for accurately identifying letters in both handwritten and printed text, with applications in OCR and document digitization.
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.
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