sajjjadayobi/sadlearn

machine learning tutorial package

SadLearn: machine learning Algorithms with Numpy

• A little example of using MLPs algorithm

import FullyConnectedNet
# MLP with 3 hidden layers
clf = FullyConnectedNet(hidden_dims=[100, 100, 100], num_class=10, num_epoch=10)
clf.train((x_train, y_train), (x_test, y_test))

Structure:

├── Algorithm   
|   |
│   ├── Classification           
|   |    ├── K Nearest Neighbors
|   |    ├── Linear classifier
|   |    ├── LogReg binary
|   |    |── Naive Bayesian
|   |
│   ├── Clustering           
|   |    ├── K Means
|   |    ├── DBSCAN
|   |
│   ├── Nureal Network    
|   |   ├── Fully Connected Network
|   |   |   |
|   |   |   ├── Optimzation
|   |   |   ├── Layer
|   |   ├── convolution Layer
|   |   
|   ├── Regression
|   |   ├── Regression SGD
|   |   ├── Regression Normal Equation
|   |   ├── K Neighbors Regression
|   |
|   ├── Preprocessing
|   |   ├── Normalize
|   |...
|
|...