farrajota

-- Available torch7 pre-trained models for download 

Alexnet (trained by me) 
cudnn: https://ln.sync.com/dl/3d9c28e80#cvjp4mjs-mc2y8jrt-9wq5yebx-yrdchcei
mean = {0.48037518790839, 0.45039056120456, 0.39922636057037}
std =  {0.27660147027775, 0.26883440068399, 0.28014687231841}
img size: 3x224x224

overfeat: https://github.com/jhjin/overfeat-torch
mean = {118.380948, 118.380948, 118.380948}

farrajota

local function mysplit(inputstr, sep)
-- split strings by any type of separator
  if sep == nil then
    sep = "%s"
  end
  local t={} ; i=1
  for str in string.gmatch(inputstr, "([^"..sep.."]+)") do
    t[i] = str
    i = i + 1
  end

farrajota

m.updateGradInput = function(self,i,o) end -- for the gradInput
m.accGradParameters = function(self,i,o) end -- for freezing the parameters

farrajota

require 'nn'
 
-- you just need to provide the linear module you want to convert,
-- and the dimensions of the field of view of the linear layer

function convertLinear2Conv1x1(linmodule,in_size)
--[[
    Convert Linear modules to convolution modules. 
    
    Arguments