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IT: Artificial Intelligence & Data
Deep Learning Foundations and Tools
Curriculum
1 Section
21 Lessons
30 hours
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Unit 2 — Deep Learning Foundations and Tools
21
1.1
Obtaining Your Copy of Anaconda
20 mins
1.2
Working with Low-End Frameworks
20 mins
1.3
Understanding Scalar, Vector, and Matrix Operations
20 mins
1.4
Mixing Variable Types
20 mins
1.5
Hitting Complexity with Neural Networks
20 mins
1.6
Looking Under the Hood of Neural Networks
20 mins
1.7
Discovering the Benefits of Additional Data
20 mins
1.8
Explaining How Convolutions Work
20 mins
1.9
Explaining Long Short-Term Memory
20 mins
1.10
Distinguishing Traffic Signs
20 mins
1.11
Perceiving Objects in Their Surroundings
20 mins
1.12
Memorizing Sequences that Matter
20 mins
1.13
Mimicking an Artist
20 mins
1.14
Considering a Growing Field
20 mins
1.15
Explaining Alpha-Go
20 mins
1.16
Approximating Person Poses in Real Time
20 mins
1.17
Augmenting TensorFlow Using Keras
20 mins
1.18
Improving Medicine
20 mins
1.19
Considering the Deep Learning Programming Environment
20 mins
1.20
Pondering the True Uses of Machine Learning
20 mins
1.21
Downloading the Datasets and Example Code
20 mins
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