Answered step by step
Verified Expert Solution
Question
1 Approved Answer
Assignment # 4 : Understanding and Implementing Backpropagation Networks in MATLAB Objective: The objective of this assignment is to understand the principles of backpropagation, implement
Assignment #: Understanding and Implementing Backpropagation Networks in MATLAB
Objective:
The objective of this assignment is to understand the principles of backpropagation, implement a neural network with backpropagation from scratch in MATLAB, and analyze its performance on a given dataset.
Implementation
Neural Network Initialization
Initialize a neural network with one hidden layer.
Choose appropriate activation functions for the hidden and output layers.
Forward Propagation
Implement the forward propagation process in MATLAB.
Compute the output of the network for a given input.
Backpropagation Algorithm
Implement the backpropagation algorithm to update the weights.
Include the calculation of gradients for each layer.
Implement gradient descent to minimize the loss function.
Training the Network
Train the network on a simple dataset eg XOR problem
Plot the loss function over iterations to visualize the training process.
Experimentation
Dataset for Comparison
Use a more complex dataset eg Iris dataset or MNIST dataset
Split the dataset into training and testing sets.
Performance Evaluation
Train the network on the training set.
Evaluate its performance on the testing set using appropriate metrics accuracy precision, recall, etc.
Experiment with different network architectures eg varying the number of neurons in the hidden layer and learning rates.
Compare and discuss the results.
Analysis and Reporting
Analysis
Discuss the convergence behavior of the network.
Analyze the impact of different activation functions and learning rates on the network's performance.
Comment on the decision boundaries formed by the network.
Report
Prepare a detailed report documenting the theory, implementation, experimentation, and analysis.
Include code snippets, plots, and performance metrics in the report.
Conclude with insights and learnings from the assignment.
Submission Guidelines:
Create a whole Pdf file contains and submit it:
The MATLAB code files for the neural network implementation.
The MATLAB Live Script or equivalent with the experimentation and plots.
Sample Datasets:
Simple Dataset:
XOR Gate: rightarrow rightarrow rightarrow rightarrow
Complex Dataset:
Iris Dataset available from UCI Machine Learning Repository
MNIST Dataset available from Yann LeCun's websiteprovide me every step and complete codes
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started