Lesson 6:

• Network with atleast one convolutional layer
• Three stages
  • Convolution function (Discrete Convolution)
  • Detection Eg. ReLU
  • Pooling
• Convolution vs Cross Corelation (Replace + by - in convolution)
• Convolved Feature or Feature Map - captures features in image similar to kernel
• Sharing parameters
• Making the network sparse