GitHub

utils_softmax_reg.py

# automatically one-hot encodes this. softmax_output = exp_z / _sum_exp_z # shape (m, k) if not np.allclose(np.sum(softmax_output, axis=1), 1, atol=1e-6): raise ValueError("Softmax outputs are not ...
GitHub

trngthnh369/pytorch-softmax-regression

A clean implementation of Softmax Regression using PyTorch for MNIST digit classification. ├── src/ # Source code │ ├── model.py # SoftmaxRegression model │ ├── data_loader.py # Data loading utilities ...
IEEE

A modified cyclostationary spectrum sensing based on softmax regression model

Abstract: In this paper, a modified Cyclostationary Feature Detection (CFD) algorithm based on softmax regression model is proposed, which targets for improving the sensing performance under low ...
Visual Studio Magazine

How to Do Multi-Class Logistic Regression Using C#

Basic logistic regression classification is arguably the most fundamental machine learning (ML) technique. Basic logistic regression can be used for binary classification, for example predicting if a ...