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#!/bin/bash | |
# | |
# script to extract ImageNet dataset | |
# ILSVRC2012_img_train.tar (about 138 GB) | |
# ILSVRC2012_img_val.tar (about 6.3 GB) | |
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory | |
# | |
# https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md | |
# | |
# train/ |
This configuration worked for me, hope it helps
It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b
and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support
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NAME := main | |
all: $(NAME).pdf | |
%.pdf: %.tex | |
sed -i s/'\\includeonly'/'%\\includeonly'/ $(NAME).tex | |
pdflatex -shell-escape $(NAME) | |
# Insert additional calls to pdflatex or bibtex here, | |
# depending on the complexity of your document |
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
- Web Server: Play (framework) or http4s (library)
- Actors: akka
- Asynchronous Programming: monix (for tasks, reactors, observables, scheduler etc)
- Authentication: Silhouette
- Authorization: Deadbolt
- Command-line option parsing: case-app
- CSV Parsing: kantan.csv
- DB: doobie (for PostgreSQL)
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# Ruby is our language as asciidoctor is a ruby gem. | |
lang: ruby | |
before_install: | |
- sudo apt-get install pandoc | |
- gem install asciidoctor | |
script: | |
- make | |
after_success: | |
- .travis/push.sh | |
env: |
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