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Topic overview
Learn the foundations of Deep Learning.
Deep Learning connects neural networks, representation learning, optimization, architectures, and evaluation with practical decisions and tasks. Guided examples, comparison, practice, and feedback help members apply these ideas to reasoning about image, text, audio, and sequence models. The goal is to make each step easier to explain, check, and improve.
Learning outcomes for Deep Learning
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1
Explain the main ideas and vocabulary involved in neural networks, representation learning, optimization, architectures, and evaluation
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2
Follow a repeatable process for reasoning about image, text, audio, and sequence models
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3
Compare examples, identify common mistakes, and improve an approach
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4
Complete an independent deep learning task and reflect on the result
5 hangouts
2 hrs 30 min 
