Bayesian Neural Networks

Bayesian Neural Networks uses Proabibilitic Model along with Neural Networks.

  • Probabilistic Programming Libraries:
    • PyMC3, Edward, Stan
  • Bayes Law


  1. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.
  2. Loss-Calibrated Approximate Inference in Bayesian Neural Networks.
  3. Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
  4. Weight Uncertainty in Neural Networks
  5. Study of Bayesian Neural Networks