Function | Shortcut |
---|---|
New Tab | ⌘ + T |
Close Tab or Window | ⌘ + W (same as many mac apps) |
Go to Tab | ⌘ + Number Key (ie: ⌘2 is 2nd tab) |
Go to Split Pane by Direction | ⌘ + Option + Arrow Key |
Cycle iTerm Windows | ⌘ + backtick (true of all mac apps and works with desktops/mission control) |
Copyright © 2016-2018 Fantasyland Institute of Learning. All rights reserved.
A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.
val square : Int => Int = x => x * x
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Following this guide will set up a local Elasticsearch with Kibana and Marvel using Homebrew and Homebrew Cask
If you already have Java
installed on your system, skip steps Install Cask and Install Java
If you already have Java
and Homebrew
installed on your system, skip steps Prerequisites, start at Install Elasticsearch and Kibana after running $ brew update
$ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# keys taken from https://software.intel.com/en-us/articles/installing-intel-free-libs-and-python-apt-repo | |
cd ~/GitHub/r-with-intel-mkl/ | |
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB | |
apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB | |
sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list' | |
sudo apt-get update && sudo apt-get install intel-mkl-64bit | |
# alternative (works well on Ubuntu 16.04) | |
cd ~/GitHub/r-with-intel-mkl/ |
These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.
##VGG19 model for Keras
This is the Keras model of the 19-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
#!/bin/bash | |
# Patrick Wieschollek | |
# ============================================================= | |
# UPDATE SOURCE | |
# ============================================================= | |
git checkout -- . | |
git pull origin master | |
# http://askubuntu.com/questions/505446/how-to-install-ubuntu-14-04-with-raid-1-using-desktop-installer | |
# http://askubuntu.com/questions/660023/how-to-install-ubuntu-14-04-64-bit-with-a-dual-boot-raid-1-partition-on-an-uefi%5D | |
sudo -s | |
apt-get -y install mdadm | |
apt-get -y install grub-efi-amd64 | |
sgdisk -z /dev/nvme0n1 | |
sgdisk -z /dev/nvme1n1 | |
sgdisk -n 1:0:+300M -t 1:ef00 -c 1:"EFI System" /dev/nvme1n1 | |
sgdisk -n 2:0:0 -t 2:fd00 -c 2:"Linux RAID" /dev/nvme1n1 |