NNFL Resources

This repository contains all the programing resources developed for "Neural Networks & Fuzzy Logic" course at BITS Pilani during academic year 2017-2018.

Contents

Assignment 1

Notebook	Additional Learning Objectives
Warm Up	Python Collections
Sierpinski Triangle	NumPy Essentials & Lambda Functions
Life Without Loops	NumPy Essentials
Game of Life	NumPy Indexing
Image Crop	Images as NumPy Arrays
Image Thresholding	Images as NumPy Arrays

Assignment 2

Notebook	Additional Learning Objectives
Basic Fuzzy Membership Functions and Hedges Solutions	-
Defuzzification and Fuzziness of Fuzzy Set Solutions	-
K-Means Clustering Solutions	Matplotlib Essentials
Fuzzy C-Means Clustering Solutions	NumPy Broadcasting
Fuzzy Operations and Relations Solutions	-

Assignment 3

Notebook	Additional Learning Objectives
Multi Layer Perceptron	Object Oriented Programming in Python & Effect of hyper-parameter
Radial Basis Functions	-

Test 1 Fall 2017

Notebook	Additional Evaluation Objectives
Convolution Conundrum	NumPy Indexing
Radial Basis Functions	NumPy Broadcasting

Test 2 Fall 2017

Notebook	Additional Evaluation Objectives
assignment2_p1_student	Fuzzy Inference Systems & Lambda Functions
assignment2_p2_student	K-Medoid Clustering & Hyper-Parameter Tunning

Test 3 Fall 2017

Notebook	Additional Evaluation Objectives
Assignment_3_P1	Multi-Layer Perceptron & Momentum

Test 1 Spring 2018

Notebook	Additional Evaluation Objectives
Neural Activation	NumPy Essentials
NMF	-
Nearest Redi Problem	NumPy Broadcasting & Masking

Test 2 Spring 2018

Notebook	Additional Evaluation Objectives
Problem 1	Fuzzy Inference & Lambda Functions
Problem 2	K-Means for Image Compression & Images as Numpy Arrays