laurence-lin

AlexNet

Second classic deep learning model to classify cat & dog image

alexnet_dog_cats

first practice of alexnet implementation

API_practice

Practice to build an API server and write an RESTful API for web & APP service

C_sharp_develop

cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

Leaky-Integrate-and-fire

A practice SNN model for classification

radial-basis-network

Radial basis network with BP algorithm for IBM stock price forecasting

SVM

SVM classification work on dataset

tempotron

a spiking neural network module, tempotron for classification

laurence-lin/Leaky-Integrate-and-fire

A practice SNN model for classification

laurence-lin/radial-basis-network

Radial basis network with BP algorithm for IBM stock price forecasting

laurence-lin/SVM

SVM classification work on dataset

laurence-lin/AlexNet

Second classic deep learning model to classify cat & dog image

laurence-lin/alexnet_dog_cats

first practice of alexnet implementation

laurence-lin/cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

laurence-lin/hn2016_falwa

Python library for computing Finite-Amplitude Local Wave Activity from climate data.

laurence-lin/IBM-stock-forecasting

IBM stock forecasting by LSTM model

laurence-lin/K-Nearest-Neighbor

KNN implementation on UCI dataset

laurence-lin/Kmeans

K means cluster algorithm

laurence-lin/LeNet

first deep learning model working on MNIST hang written digit classification

laurence-lin/LeNet-in-Tensorflow

Implementation of the LeNet-5 deep neural network model in Tensorflow. https://www.youtube.com/watch?v=ixkpBmKRZDw

laurence-lin/Linear-Regression

List of linear regression practice

laurence-lin/Logistic-Regression

Model and dataset for logistic regression practice

laurence-lin/LSTM_prediction

This is the implementation of LSTM on energy prediction UCI dataset during practicing SVR

laurence-lin/ML-code-practice

A set of code implementation of machine learning models including deep learning.

laurence-lin/models

Models and examples built with TensorFlow

laurence-lin/Monte-Carlo-Method

Some practice about using Monte Carlo Search Algorithm

laurence-lin/Moving-Average

Experiment the implementation of moving average, and test if its smoothing effect helps training performance.

laurence-lin/Neural-Network-Prediction-for-S-P-500-stock-price

Simple neural network prediction for S & P 500 stock price, and other stock dataset

laurence-lin/PCA

Apply PCA on wine dataset, to show that by the dimension reduction principal component, the extracted feature is available to perform classification task.

laurence-lin/Perceptron

PLA example for linear binary classification

laurence-lin/pm2.5-forecast-in-time-and-space

laurence-lin/PM2.5_ANL

分析pm2.5变化趋势，挖掘pm2.5影响因子

laurence-lin/resnet

first resnet model imitating from online

laurence-lin/SVR

support vector regression practice

laurence-lin/Test

laurence-lin/Text-classification

Text classification implementation according to tensorflow official tutorial

laurence-lin/VGGNet

First vgg-16 net for monkey species classification