MATLAB implementations of a variety of machine learning/signal processing algorithms.
-
Updated
Aug 24, 2016 - MATLAB
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
The source code for my entry to the ML challenge organised at Flipkart.com
An implementation of Stochastic Gradient Hamiltonian Monte Carlo by Gilad Amitai and Beau Coker
The repository has project related to different types of Neural-Network. All the projects in this repository is a part of Udaicty Deep Learning Nanodegree course
Implementation of Multivariate Linear Regression algorithm using Stochastic Gradient Descent technique to predict the quality of white wine using Python.
Implementation of Logistic Regression using stochastic gradient descent to predict onset of diabetes.
Multilayer Perceptron based on NumPy
Modifiable neural network
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
Practice of implementing Multilayer Perceptron trained with Stochastic Gradient Descent for Seoul AI Meetup on June 25, 2017.
Predict Ads click through rates using Logistic Regression. Implemented Stochastic Gradient Descent, L2 regularization, Hash Kernel
linear regression with stochastic gradient descent
TensorFlow - Deep Learning in het Nederlands.
classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching
Streaming Maximum Likelihood Estimation
Tensorflow Simplified: Linear and Sigmoid Layers, Forward and Back Prop, Stochastic Gradient Descent
Contains assignments I did in ML course
Predict the number of bikeshare users on a given day by building my own deep-learning library.
Add a description, image, and links to the stochastic-gradient-descent topic page so that developers can more easily learn about it.
To associate your repository with the stochastic-gradient-descent topic, visit your repo's landing page and select "manage topics."