Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
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Updated
Oct 3, 2016 - Python
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
Examples of PHP-FANN OCR Neural Networks
Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies
Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
All my machine learning projects and tests.
A Handwritten Digit Recognizer on the Web. Model trained locally on MNIST with ANN built from scratch.
THE MNIST DATABASE of handwritten digits Yann LeCun, Courant Institute, NYU
Xgboost-PyTorch Models on MNIST with K8s SageMaker Operators
Handwritten digit recognition using a LeNet-style CNN trained on the MNIST dataset.
A simple handwritten digit classifier NN implemented from scratch in C++.
PyTorch implementation of a Convolutional Neural Network (CNN) for handwritten digit recognition using the MNIST dataset.
Neural Network Applications
Digit Recognition on MNIST Data
Image Recognition using Python on MNIST dataset with the help of CNN, Multiclass Logistic Regression and SGD
Simple NN for MNIST Recognition
A deep learning implementation to recognize single integers from integers. Implemented with tensorflow. **Requires IPython Notebooks to be run ;)
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