Главная
Study mode:
on
1
COMP 3200 - Intro to Al Stream Starting Soon...
2
Deep Neural Networks
3
Edge Detector
4
Max Pooling
5
Repeating the Process
6
Computing Required
7
Autoencoding Example
8
Deep Reinforcement Learning
9
Learning from Replays
10
Heuristic Search
11
What do DNN see?
12
Tricking DNN
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore deep neural networks in this 37-minute lecture from Memorial University's Computer Science 3200 course on Artificial Intelligence. Delve into edge detection, max pooling, and the iterative process of deep learning. Examine the computational requirements and discover practical applications through autoencoding examples. Investigate deep reinforcement learning and the concept of learning from replays. Analyze heuristic search techniques and gain insights into what deep neural networks actually perceive. Conclude by exploring methods to manipulate deep neural networks, providing a comprehensive overview of advanced AI concepts.

Introduction to Artificial Intelligence: Deep Neural Networks - Lecture 19

Dave Churchill
Add to list
0:00 / 0:00