[TOC]

LearningMachineLearning

Coding for machine learning practice!

To-do List & Bugs & Issues

1 Deep Learning

MyDeepLearning

1.1 PyTorch

index	name	finished
1	only 1 hidden layer works	√
2	dynamic network structure

1.2 TensorFlow

2 Machine Learning

MyMachineLearning

2.0 General

index	name	finished
1	optimize dataset interface	√
2	use python package pandas

2.1 Linear Model

index	name	finished
1	Linear Regression	√
2	Logistic Regression	√
3	Linear Discriminant Analysis	√
4	Kernel LDA

2.2 Decision Tree

index	name	finished
1	process sequential attribution	√
2	pre-pruning, post-pruning
3	process blank / missing value
4	visualize decision tree

2.3 Support Vector Machine

index	name	finished
1	improve classification performance	√
2	implement multi kernel methods	√
3	visualize data	√
4	case of eta >= 0

2.4 Neural Network

index	name	finished
1	perceptron	√
2	visualize with turtle	√
3	fully connected nn	√
4	improve classification performance	√
5	visualize classification result of fcnn	√
6	visualize training loss	√
7	visualize network architecture with turtle	√
8	save and load parameter interface	√
9	implement NN with OO style	√
10	visualization with Qt	√
11	dynamic node management (correctness)
12	ui with pytorch

3 Numerical Analysis

MyNumericalAnalysis

3.1 Linear System Equation

3.2 Non Linear Equation

3.3 Interpolation

3.4 Fit

3.5 Integration