Convert typed text to realistic handwriting!
#计算机科学#Alphabet recognition using EMNIST dataset for humans ⚓
#自然语言处理#✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
Handwriting recoginition program made using CNN in Python.
#计算机科学#Teaching a neural network how to write letters and digits with reinforcement learning.
This is a simple app to predict the alphabet that is written on the screen using an object of interest.
generate arbitrary handwritten letter/digits based on the inputs
Digits Recognizer using correlation and similarity methods in MNIST Letters dataset.
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 ...
#计算机科学#A Flask web app for handwriting digit and character recognition using machine learning
Project 3 for Artificial Neural Networks
EMNIST Character Recognizer : Draw a character, and the app instantly predicts it using a PyTorch model trained on EMNIST—all in a simple Tkinter interface.
A simple NN word recognizer based on the EMNIST dataset
A deep learning model deployed as a web app to classify handwritten digits and letters using the EMNIST dataset
TextToHandwriting tool
#计算机科学#Classify the handwritten letters EMNIST
#自然语言处理#Natural Language Processing Model that can recognise handwritten letters and convert them to typed text.
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
Projekti rađeni u programskom jeziku Python. Svi projekti su vezani uz tematiku podatkovne analitike i podatkovne znanosti.