QData Deep Learning Undergraduate Reading Group
  • About Our Group

    • Posts

  • Deep Q Networks
  • Image Super-Resolution Using Deep Convolutional Networks
  • Neural Turing Machines
  • Distilling the Knowledge in a Neural Network
  • You Only Look Once: Unified, Real-Time Object Detection
  • Statistical Modeling: The Two Cultures
  • Attention is All You Need
  • Visualizing and Understanding Convolutional Networks
  • Natural Language Processing (Almost) from Scratch
  • A Neural Algorithm of Artistic Style
  • Generative Adversarial Networks (GANS)
  • The Lottery Ticket Hypothesis
  • Overview of Deep Learning
  • Training Deep Neural Networks
  • The Universal Approximation Theorem
  • Improving the way neural networks learn
  • How the backpropagation algorithm works
  • Recognizing Handwritten Digits

    • Tags

  • art
  • attention
  • backprop
  • cnns
  • cv
  • distillation
  • explainability
  • gans
  • generative-models
  • iclr
  • lottery-tickets
  • lstms
  • mnist
  • neural-networks
  • nlp
  • object-detection
  • optimization
  • rnns
  • softmax
  • statistics
  • style-transfer
  • theory
  • transformers
  • universal-approximation-theorem

Tag: neural-networks

  • The Lottery Ticket Hypothesis (01 Dec 2019)
  • Overview of Deep Learning (17 Nov 2019)
  • Training Deep Neural Networks (10 Nov 2019)
  • The Universal Approximation Theorem (03 Nov 2019)
  • Improving the way neural networks learn (27 Oct 2019)
  • How the backpropagation algorithm works (12 Oct 2019)
  • Recognizing Handwritten Digits (21 Sep 2019)