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Enter The Nexus
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Part 4: The Part of Tens
Curriculum
3 Sections
30 Lessons
10 Weeks
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Chapter 18: Ten Applications that Require Deep Learning
10
1.1
Restoring Color to Black-and-White Videos and Pictures
10 mins
1.2
Approximating Person Poses in Real Time
10 mins
1.3
Performing Real-Time Behavior Analysis
10 mins
1.4
Translating Languages
10 mins
1.5
Estimating Solar Savings Potential
10 mins
1.6
Beating People at Computer Games
10 mins
1.7
Generating Voices
10 mins
1.8
Predicting Demographics
10 mins
1.9
Creating Art from Real-World Pictures
10 mins
1.10
Forecasting Natural Catastrophes
10 mins
Chapter 19: Ten Must-Have Deep Learning Tools
10
2.1
Compiling Math Expressions Using Theano
10 mins
2.2
Augmenting TensorFlow Using Keras
10 mins
2.3
Dynamically Computing Graphs with Chainer
10 mins
2.4
Creating a MATLAB-Like Environment with Torch
10 mins
2.5
Performing Tasks Dynamically with PyTorch
10 mins
2.6
Accelerating Deep Learning Research Using CUDA
10 mins
2.7
Supporting Business Needs with Deeplearning4j
10 mins
2.8
Mining Data Using Neural Designer
10 mins
2.9
Training Algorithms Using Microsoft Cognitive Toolkit (CNTK)
10 mins
2.10
Exploiting Full GPU Capability Using MXNet
10 mins
Chapter 20: Ten Types of Occupations that Use Deep Learning
10
3.1
Managing People
10 mins
3.2
Improving Medicine
10 mins
3.3
Developing New Devices
10 mins
3.4
Providing Customer Support
10 mins
3.5
Seeing Data in New Ways
10 mins
3.6
Performing Analysis Faster
10 mins
3.7
Creating a Better Work Environment
10 mins
3.8
Researching Obscure or Detailed Information
10 mins
3.9
Designing Buildings
10 mins
3.10
Enhancing Safety
10 mins
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