Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%
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Updated
Dec 16, 2018 - Jupyter Notebook
Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%
A resource-conscious neural network implementation for MCUs
An Intuitive Desktop GUI Application For Recognizing Multiple Handwritten Digits Drawn At The Same Time. Trained On MNIST Dataset and Built With Python, OpenCV and TKinter
AWS Fundamentals Specialization Coursera
🎰Handwritten digit recognition application implemented by TensorFlow2 + Keras and Flask.
Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.
MNIST of Tibetan handwriting 国产手写藏文MNIST数据集(TibetanMNIST)的图像分类处理与各种好玩的脑洞~
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please 🌟 the repo if you like it ☝️ Create an Issue or preferably a PR for any improvement. 🚀
Intro to TensorFlow tutorial code written for DigitalOcean
Basic tensorflow examples with code
This is a repository with various classifier written in jupyter notebook that works on hand written digits images.
Handwritten Digit Recognition Using Random Forest
Running some AI examples on NVIDIA Jetson Nano
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
2021 Spring (Statistical Methods and Machine Learning) 统计方法与机器学习
It is a Python GUI in which you can draw a digit and the ML Algorithm will recognize what digit it is. We have used Mnist dataset
Solution to Kaggle's Digit Recognizer on MNIST dataset
Convert data in IDX format in MNIST Dataset to Numpy Array using Python
This notebook implements a neural network using Julia Flux to recognize handwritten digits from MNIST dataset.
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