ECEN649: Pattern Recognition
1
Introduction
Preface
Lecture Notes
1
Introduction
2
Chapter 01
3
Chapter 2: Optimal Classification
4
Chapter 3: Sampled-Based classification
5
Chapter 4: Parametric Classification
Assignments
6
Homework 1
7
Homework 2
8
Homework 3
9
Homework 4
10
Homework4: Problem 6.12
11
Homework 5
Final Project
12
Abstract
13
Predicting Stock Market with Bayesian Nerual Network
14
Dataset before COVID
15
Introduction to Jax
16
Bayesian Neural Network with Jax
References
Table of contents
1.1
Website
1
Introduction
1.1
Website
https://braganeto.engr.tamu.edu/book-website/
All the learning materials is here.
Preface
2
Chapter 01