Steve Blythe

Journal of the Franklin Institute · 2001

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Steve Blythe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John J. Hopfield

Papers from Steve Blythe's perspective

Ordered by how strongly the researchers Steve Blythe trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Neurons with graded response have collective computational properties like those of two-state neurons.
  2. Neural networks and physical systems with emergent collective computational abilities.
  3. Neural networks
  4. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition
  5. Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
  6. This PDF file includes: Materials and Methods
  7. Best practices for convolutional neural networks applied to visual document analysis
  8. Deep Sparse Rectifier Neural Networks
  9. A Fast Learning Algorithm for Deep Belief Nets
  10. Random feedback weights support learning in deep neural networks

Their papers