A resource-conscious neural network implementation for MCUs
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Updated
Jul 30, 2024 - C++
A resource-conscious neural network implementation for MCUs
A simple handwritten digit classifier NN implemented from scratch in C++.
Neural Network Applications
Xgboost-PyTorch Models on MNIST with K8s SageMaker Operators
Examples of PHP-FANN OCR Neural Networks
Image Recognition using Python on MNIST dataset with the help of CNN, Multiclass Logistic Regression and SGD
Kaggle Competition, "Digit Recognizer" with Pytorch
All my machine learning projects and tests.
MNIST Digits Classification with numpy only
Digit Recognition on MNIST Data
Study of leNet implementation in Python3.6 with Keras+Tensorflow backend.
THE MNIST DATABASE of handwritten digits Yann LeCun, Courant Institute, NYU
A deep learning implementation to recognize single integers from integers. Implemented with tensorflow. **Requires IPython Notebooks to be run ;)
Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies
Simple NN for MNIST Recognition
A Handwritten Digit Recognizer on the Web. Model trained locally on MNIST with ANN built from scratch.
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