| { | |
| "AWSEBDockerrunVersion": "1", | |
| "Image": { | |
| "Name": "<AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/<NAME>:<TAG>", | |
| "Update": "true" | |
| }, | |
| "Ports": [ | |
| { | |
| "ContainerPort": "443" | |
| } |
For the past few months, I've been working on a project that involved machine learning, a subject that I was previously quite unfamiliar with. Though I'm still very much a novice, the resources here helped give me an overview of the subject, or are ones that I plan on exploring further.
Articles / Essays
Review of machine/deep learning in an artistic context - Memo Akten
Notes on Artificial Intelligence - Francis Tseng
| /** | |
| * Retrieves all the rows in the active spreadsheet that contain data and logs the | |
| * values for each row. | |
| * For more information on using the Spreadsheet API, see | |
| * https://developers.google.com/apps-script/service_spreadsheet | |
| */ | |
| function readRows() { | |
| var sheet = SpreadsheetApp.getActiveSheet(); | |
| var rows = sheet.getDataRange(); | |
| var numRows = rows.getNumRows(); |
| fabric.Sprite = fabric.util.createClass(fabric.Image, { | |
| type: 'sprite', | |
| spriteWidth: 50, | |
| spriteHeight: 72, | |
| spriteIndex: 0, | |
| initialize: function(element, options) { | |
| options || (options = { }); |
| // Replacing callbacks with scumbacks | |
| // Promises to call you back but then doesn't | |
| // Getting your hopes up again | |
| // and again | |
| var brokenPromise = { | |
| then: doesnt | |
| }; | |
| function doesnt(callback){ | |
| return brokenPromise; |
| #!/bin/sh | |
| # Amazon Linux AMI startup script for a supervisor instance | |
| # | |
| # chkconfig: 2345 80 20 | |
| # description: Autostarts supervisord. | |
| # Source function library. | |
| . /etc/rc.d/init.d/functions | |
| supervisorctl="/usr/bin/supervisorctl" |