reductionista commented on a change in pull request #354: Minibatch DL: Set default normalizing constant to 1.0 URL: https://github.com/apache/madlib/pull/354#discussion_r262325874
########## File path: src/ports/postgres/modules/utilities/minibatch_preprocessing_dl.sql_in ########## @@ -35,12 +35,12 @@ m4_include(`SQLCommon.m4') <li class="level1"><a href="#related">Related Topics</a></li> </ul></div> -For deep learning techniques such as convolutional neural networks, the input -data is often images. These images can represented as an array of numbers -with elements between 0 and 255, representing grayscale or RGB channel values -for each pixel in the image. It is standard practice to divide by 255 to -normalize the image data. The normalizing constant is parameterized, and can -be set depending on the format of image data used. +For deep learning based techniques such as convolutional neural nets, the input +data is often images. These images can be represented as an array of numbers +where each element defines represents grayscale or RGB channel values for each Review comment: Slight typo here (defines) I will just correct it ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
