Multi-Layer Perceptron (MLP)

Multi-Layer Perceptron (MLP) Code: Please click the following multi-layer perceptron (MLP) code including training and classification in the same file.

Tutorial: Understanding Multi-Layer Perceptron (MLP) .. How it Works. 

Data Sets: UCI Machine Learning Repository

Perceptron Challenge

As you finish the perceptron training, you have a new challenge to tackle - modifying the

perceptron code to classify a new data set. The information of the data set is listed in the following:

1. No.of classes: 2 (class 0 and 1)
2. No. of training data: 2000
3. No. of testing data: 400
4. No. of features: 3 (feature vector is in 3-dimensional space)
5. Files: training.txt, and testing.txt

Since the original perceptron is only for 2-dimensional data, you need to identify and modify all the dimension-related code to make it work. After you finishing the classification, visualize your training and testing data, and the decision boundary using Grapher in Mac laptop (see example). Our deadline for this challenge is March 17, 2017 (Friday).

The Artificial Neural Network (ANN) presentations are available in the following:

1. ANN 01 - Artificial Neurons
2. ANN 02 - Perceptrons 

The Perceptron code can be found at the link.

F1 Formula's STEM Challenge

http://www.distem.net/f1is-ny-regional

http://www.f1inschools.com/