BINF301 Machine Learning for Systems Biology
  1. Neural networks
  2. Theory
  • Home
  • Introduction to Julia
  • Cluster analysis
    • Path-breaking paper
    • Theory
    • Implementation
  • Statistical significance
    • Path-breaking paper
    • Theory
    • Implementation
  • Regularized regression
    • Path-breaking paper
    • Theory
    • Implementation
  • Dimensionality reduction
    • Path-breaking paper
    • Theory (PCA)
    • Theory (t-SNE, UMAP)
    • Implementation
  • Causal inference
    • Path-breaking paper
    • Theory
    • Implementation
  • Bayesian networks
    • Path-breaking paper
    • Theory
  • Gaussian processes
    • Path-breaking paper
    • Theory
    • Implementation
  • Neural networks
    • Path-breaking paper
    • Theory
  • Appendix
  1. Neural networks
  2. Theory

Neural networks

Book sections
  • Elements of Statistical Learning: Chapter 11
  • An Introduction to Statistical Learning: Chapter 10
  • Pattern Recognition and Machine Learning: Chapter 5
Path-breaking paper