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IT: Artificial Intelligence & Data
Foundations of Deep Learning
Curriculum
1 Section
22 Lessons
30 hours
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Unit 1 — Foundations of Deep Learning
22
1.1
Defining What Deep Learning Means
20 mins
1.2
Defining Machine Learning
20 mins
1.3
Working with Python in this Book
20 mins
1.4
Presenting Frameworks
20 mins
1.5
Revealing the Math You Really Need
20 mins
1.6
Combining Variables
20 mins
1.7
Discovering the Incredible Perceptron
20 mins
1.8
Understanding Neural Networks
20 mins
1.9
Seeing Data Everywhere
20 mins
1.10
Beginning the CNN Tour with Character Recognition
20 mins
1.11
Introducing Recurrent Networks
20 mins
1.12
Using Image Classification Challenges
20 mins
1.13
Distinguishing Classification Tasks
20 mins
1.14
Processing Language
20 mins
1.15
Learning to Imitate Art and Life
20 mins
1.16
Making Networks Compete
20 mins
1.17
Playing a Game with Neural Networks
20 mins
1.18
Restoring Color to Black-and-White Videos and Pictures
20 mins
1.19
Compiling Math Expressions Using Theano
20 mins
1.20
Managing People
20 mins
1.21
Using Deep Learning in the Real World
20 mins
1.22
Considering the Many Different Roads to Learning
20 mins
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