Andrew McElroy Sophrinix

The Batch Normalization paper describes a method to address the various issues related to training of Deep Neural Networks. It makes normalization a part of the architecture itself and reports significant improvements in terms of the number of iterations required to train the network.

Issues With Training Deep Neural Networks

Internal Covariate shift

Covariate shift refers to the change in the input distribution to a learning system. In the case of deep networks, the input to each layer is affected by parameters in all the input layers. So even small changes to the network get amplified down the network. This leads to change in the input distribution to internal layers of the deep network and is known as internal covariate shift.

It is well established that networks converge faster if the inputs have been whitened (ie zero mean, unit variances) and are uncorrelated and internal covariate shift leads to just the opposite.

React Native + macOS + Clojurescript

Project Catalyst

Since the recent release of Catalina, macOS has shipped with the ability to allow iOS/iPAD apps to run on macOS without any modification via a featureset known as Project Catalyst.

This is exciting, as writing React Native + Clojurescript apps as a target for the desktop is much more compelling than a pure Electron app (imo).

Linux Desktop on Apple Silicon in Practice

I bought M1 MacBook Air. It is the fastest computer I have, and I have been a GNOME/GNU/Linux user for long time. It is obvious conclusion that I need practical Linux desktop environment on Apple Silicon.

Fortunately, Linux already works on Apple Silicon/M1. But how practical is it?

Two native ports exist.

	begin
	require 'bundler/inline'
	rescue LoadError => e
	$stderr.puts 'Bundler version 1.10 or later is required. Please update your Bundler'
	raise e
	end

	gemfile(true) do
	source 'https://rubygems.org'
	# Activate the gem you are reporting the issue against.

-rm -rf ~/Library/Application\ Support/Slack/
-rm -rf ~/Library/Containers/com.tinyspeck.slackmacgap/
-rm -rf ~/Library/Preferences/com.tinyspeck.slackmacgap.plist
-rm -rf ~/Library/Saved\ Application\ State/com.tinyspeck.slackmacgap.savedState
-rm ~/Library/Safari/LocalStorage/*slack*

	/**
	* Ti.DynamicLib
	* @abstract Support embedded binaries (aka dynamic libraries) in Titanium modules and Hyperloop.
	* @version 1.1.0
	*
	* Install:
	* 1) Search and replace '../../src/<YourFramework>.framework' with your framework location.
	The path is relative to the `build/iphone` directory.
	* 2a) For classic modules:
	* - Add 'LD_RUNPATH_SEARCH_PATHS=$(inherited) "@executable_path/Frameworks" $(FRAMEWORK_SEARCH_PATHS)'

	/* eslint-disable func-names */
	/* eslint quote-props: ["error", "consistent"] */
	/**
	* Ask Alexa for todays canteen lunches.
	**/

	'use strict';

	const https = require('https');