Deep Learning Conf 2016

A conference on deep learning.

Debugging DeepNets - practitioners black book

Submitted by Anuj Gupta (@anuj-gupta) (proposing) on May 13, 2016

This is a proposal requesting for someone to speak on this topic. If you’d like to speak, leave a comment.

Section: Full talk Technical level: Advanced Status: Cancelled


Secret Sauce to Building production quality Deep Nets


It will be great if someone can present a talk on the following points

  • Visualize if the weights have saturated
  • Visualize if the gradients have diminished(0) or exploded
  • Strategies to prevent the network from going into state where gradients have diminished(0) or exploded
  • Strategies to recover when gradients have diminished(0) or exploded (gradient clipping)
  • Good toolkits for early diagnosis and Visualization
  • detect bad initialisations
  • Strategies to prevent overfitting
  • badly conditioned activations
  • handle unbalanced datasets
  • Other Do’s and Dont’s and other Dark Arts to build good DeepNets

Speaker bio

Anuj is heading Deep Learning efforts at Freshdesk. you can find more about me on


Login to leave a comment

You need to be a participant to comment.

{{ formTitle }}
Post a comment...
New comment

{{ errorMsg }}