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