<h1> Neural Networks <br/> and <br/> Machine Learning </h1> ### Instructor: Prof. Emre Neftci  <center>https://canvas.eee.uci.edu/courses/21750</center> [](?print-pdf)

## Table of Contents - [Lecture 1 ](slides_1.html): Introduction - [Lecture 2 ](slides_2.html): Artificial Neural Networks - [Lecture 3 ](slides_3.html): Fully Connected Networks - [Lecture 4 ](slides_4.html): Neural Networks for Vision - [Lecture 5 ](slides_5.html): Modern ConvNets and Segmentation - [Lecture 6 ](slides_6.html): Generative Models - [Lecture 7 ](slides_7.html): Deep Generative Models Part 1 - [Lecture 7b](slides_7b.html): Deep Generative Models Part 2 - [Lecture 8 ](slides_8.html): Recurrent Neural Networks - [Lecture 9 ](slides_9.html): Natural Language Processing