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week-06-neural-networks.pdf
42 slides · lectureBackpropagation adjusts the network's weights by working out how much each connection contributed to the prediction error, so the model improves after every training cycle.
1. What does the learning rate control? 2. Why do deep networks need non-linear activations? 3. What is overfitting, and how does dropout help?
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AI RewriteSelected text
Renewable energy is a really big deal for cutting carbon emissions and it's getting cheaper fast.
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Renewable energy has become a central means of reducing carbon emissions, and its cost continues to fall rapidly.
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APA 7thAdaptive learning systems improve outcomes for students who start behind.
Adaptive learning in higher education: a meta-analysis
Illustrative result · Journal article · 2023Personalized feedback and student persistence
Illustrative result · Conference paper · 2022Reference list
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