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on
1
– Welcome to class
2
– Non-linear functions
3
– Q&A
4
– Softargmax and softargmin
5
– Logsoftargmax
6
– Cost functions
7
– Architectures: multiplicative interaction
8
– Mixture of experts
9
– Parameter transformations
Description:
Explore key concepts in deep learning through this comprehensive lecture covering non-linear functions, softargmax and softargmin, logsoftargmax, cost functions, and various architectures. Delve into multiplicative interaction, mixture of experts, and parameter transformations. Gain valuable insights from renowned speaker Yann LeCun as he guides you through essential topics in neural network design and optimization. Perfect for those seeking to deepen their understanding of advanced deep learning concepts and architectures.

Modules and Architectures

Alfredo Canziani
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