praveern / coursera-ng-convolutional-neural-networks

Convolutional Neural Networks

Course can be found in Coursera

Quiz and answers are collected for quick search in my blog SSQ

• Week 1 Foundations of Convolutional Neural Networks

  • Understand the convolution operation
  • Understand the pooling operation
  • Remember the vocabulary used in convolutional neural network (padding, stride, filter, ...)
  • Build a convolutional neural network for image multi-class classification
  • Convolutional Model: step by step
  • Convolutional Model: application

• Week 2 Deep convolutional models: case studies

  • Understand multiple foundational papers of convolutional neural networks
  • Analyze the dimensionality reduction of a volume in a very deep network
  • Understand and Implement a Residual network
  • Build a deep neural network using Keras
  • Implement a skip-connection in your network
  • Clone a repository from github and use transfer learning
  • Keras - Tutorial - Happy House v2
  • Residual Networks - v2

• Week 3 Object detection

  • Understand the challenges of Object Localization, Object Detection and Landmark Finding
  • Understand and implement non-max suppression
  • Understand and implement intersection over union
  • Understand how we label a dataset for an object detection application
  • Remember the vocabulary of object detection (landmark, anchor, bounding box, grid, ...)
  • Car detection with YOLOv2

• Week 4 Special applications: Face recognition & Neural style transfer

  • Understand One Shot Learning, Siamese Network, Triplet Loss
  • Understand Content Cost Function, Style Cost Function, 1D and 3D Generalizations
  • Deep Learning & Art: Neural Style Transfer
  • Face Recognition for the Happy House