My java implementation of scalable on-line stochastic gradient descent for regularized logistic regression
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Updated
Nov 22, 2016 - Java
My java implementation of scalable on-line stochastic gradient descent for regularized logistic regression
Modifiable neural network
Repository for Assignment 1 for CS 725
1. Understand how neural networks work 2. Implement a simple neural network 3. Understand the role of different parameters of a neural network, such as learning rate
Identifying text in images in different fonts using deep neural network techniques.
Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning
Short description for quick search
Logistic regression with l1 and l2 regularization VS Linear SVM
An OOP Deep Neural Network using a similar syntax as Keras with many hyper-parameters, optimizers and activation functions available.
The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
A framework for implementing convolutional neural networks and fully connected neural network.
Fully connected neural network with Adam optimizer, L2 regularization, Batch normalization, and Dropout using only numpy
Implementation of linear regression with L2 regularization (ridge regression) using numpy.
Image Classification with CNN using Tensorflow backend Keras on Fashion MNIST dataset
This repository contains the second, of 2, homework of the Machine Learning course taught by Prof. Luca Iocchi.
Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. This flood of new imagery is outgrowing the ability for organization…
Code for Stochastic Gradient Descent for Linear Regression with L2 Regularization
Water and lipid signal removal in MRSI by L2 regularization (submitted by Liangjie Lin)
Just exploring Deep Learning
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