UpConv

• Fractionally strided convolution
• Transposed Convolution
  • Like a deep interpolation
• Convolution with a fractional input stride
• Up-sampling is convolution ‘in reverse’
  • Not an actual inverse convolution
• For scaling up by a factor of $f$
  • Consider as a Convolution of stride $1/f$
• Could specify kernel
  • Or learn
• Can have multiple upconv layers
  • Separated by ReLu
  • For non-linear up-sampling conv
  • Interpolation is linear

Convolution Matrix

Normal

• Equivalent operation with a flattened input
  • Row per kernel location
• Many-to-one operation

Understanding transposed convolutions

Transposed

• One-to-many