GitHub / mbeps / deep-convolutional-neural-network-digits-classifier
A deep learning model that classifies handwritten digits using a CNN architecture trained on multiple datasets, designed to generalize well to unseen handwriting styles. This is a coursework for the Pattern Recognition, Neural Networks and Deep Learning (7CCSMPNN) module for King's College London.
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 435 KB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 11 days ago
Pushed at: about 2 months ago
Last synced at: 4 days ago
Topics: ai, artificial-intelligence, classification, deep-learning, deep-learning-algorithms, deep-neural-networks, kereas, machine-learning, neural-networks, pattern-recognition, tensorflow