基本集 - 神经计算介绍 译 MIT 9.40 Introduction to Neural Computation, Spring 2018麻省理工：神经计算导论，2018年春 - 16: Basic Sets - Intro to Neural Computation 16：基本集 - 神经计算介绍 【第18集】18: Recurrent Networks - Intro to Neural ...

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they ...

How biologically plausible are artificial neural networks? • How does backpropagation differ from the learning algorithms discussed in section 5.2? Section 5.4 • What are the principal features of ...

With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the ...