Dr Anne Hsu
16 Intro to Deep Learning Part3: Universal Approximation Theorem
12:46
Dr Anne Hsu
17 Intro to Deep Learning Part3: Neural Network Computations
4:53
Dr Anne Hsu
15 Intro to Deep Learning Part 3: Multilayer Perceptron & XOR Problem
14:33
Dr Anne Hsu
14 Intro to Deep Learning Part3: Boolean Logic Operations - NOT, AND, OR, and XOR
7:46
Dr Anne Hsu
13 Intro to Deep Learning Part2: Nonlinearity and Limitations of Single Neuron Model
2:27
Dr Anne Hsu
12 Intro to Deep Learning Part 2: More Lying at Poker
8:17
Dr Anne Hsu
11 Intro to Deep Learning Part 2: Lying at Poker
8:47
Dr Anne Hsu
10 Intro to Deep Learning Part2: Single Neuron Perceptron
5:02
Dr Anne Hsu
09 Intro To Deep Learning Part1: Reinforcement Learning
14:55
Dr Anne Hsu
08 Intro To Deep Learning Part1: Unsupervised Learning
15:33
Dr Anne Hsu
07 Intro To Deep Learning Part1: Supervised Learning
11:00
Dr Anne Hsu
03 Intro To Deep Learning Part1: What's special about Deep Learning
7:08
Dr Anne Hsu
06 Intro To Deep Learning Part1: Intuition Behind Deep Learning Representations
7:09
Dr Anne Hsu
04 Intro To Deep Learning Part1: Representing Machine Learning & Deep Learning Problems
7:31
Dr Anne Hsu
05 Intro To Deep Learning Part1: Intuition For Efficient Feature Representations
6:09
Dr Anne Hsu
01 Intro To Deep Learning Part1: The Primary Goal of Artificial Intelligence
6:41
Dr Anne Hsu
02 Intro To Deep Learning Part1: How Artificial Intelligence Works
8:55
Dr Anne Hsu
00 Intro To Deep Learning: About this course
1:28