Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
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Updated
Apr 30, 2018 - Python
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Short description for quick search
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
Example CNN on CIFAR-10 classification
Handwritten Digit Recognition using Softmax Regression in Python
get familiar with pytorch
Mixture of Softmaxes implementation in Tensorflow
A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)
Image Recognition on the CIFAR-10 training set using various approaches like Convolutional neural networks, Support Vector Machines, Softmax regression using only Numpy
Handwriting Recognition Software (Python/AI/kivy)
MNIST Softmax regression implemion using only pure Python
Handwritten digit classification systems
Flexible SVM framework implementation
Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.
Multiclass classification by logistic regression and softmax regression
Classic methods on digit recognition. As part of the MITx course on machine learning with Python - from linear models to deep learning
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