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IT: Artificial Intelligence & Data
Applied Deep Learning Solutions
Curriculum
1 Section
21 Lessons
30 hours
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Unit 4 — Applied Deep Learning Solutions
21
1.1
Estimating Solar Savings Potential
20 mins
1.2
Performing Tasks Dynamically with PyTorch
20 mins
1.3
Seeing Data in New Ways
20 mins
1.4
Adding Comments
20 mins
1.5
Beating People at Computer Games
20 mins
1.6
Accelerating Deep Learning Research Using CUDA
20 mins
1.7
Performing Analysis Faster
20 mins
1.8
Getting Help with the Python Language
20 mins
1.9
Generating Voices
20 mins
1.10
Supporting Business Needs with Deeplearning4j
20 mins
1.11
Creating a Better Work Environment
20 mins
1.12
Working in the Cloud
20 mins
1.13
Predicting Demographics
20 mins
1.14
Mining Data Using Neural Designer
20 mins
1.15
Researching Obscure or Detailed Information
20 mins
1.16
Creating Art from Real-World Pictures
20 mins
1.17
Training Algorithms Using Microsoft Cognitive Toolkit (CNTK)
20 mins
1.18
Designing Buildings
20 mins
1.19
Forecasting Natural Catastrophes
20 mins
1.20
Exploiting Full GPU Capability Using MXNet
20 mins
1.21
Enhancing Safety
20 mins
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