Christos Baziotis cbaziotis

## pytorch_resume_training.py

import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.nn.functional as F

import matplotlib.pyplot as plt

import numpy as np

## ubuntu16_tensorflow_cuda8.sh
# This is shorthened version of blog post
#  http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

# update packages
sudo apt-get update
sudo apt-get upgrade

#Add the ppa repo for NVIDIA graphics driver
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update

## Deep Learning with Python 3 on ubuntu 16.04.sh
# This is inspired by the fantastic guide https://github.com/saiprashanths/dl-setup
# I have just updated the python-related commands so that everything works in Python 3.
# Tested on Xubuntu 16.04.

# First of all let's update the repos:
sudo apt-get update

# Only if you have a CUDA-compatible Nvidia card, install CUDA.
# Check on the Nvidia website what is the latest driver version which supports your card.
# At the time of this writing it was 367.

	import torch
	import torch.nn as nn
	import torch.optim as optim
	from torch.autograd import Variable
	import torch.nn.functional as F

	import matplotlib.pyplot as plt

	import numpy as np
	# This is shorthened version of blog post
	# http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

	# update packages
	sudo apt-get update
	sudo apt-get upgrade

	#Add the ppa repo for NVIDIA graphics driver
	sudo add-apt-repository ppa:graphics-drivers/ppa
	sudo apt-get update
	# This is inspired by the fantastic guide https://github.com/saiprashanths/dl-setup
	# I have just updated the python-related commands so that everything works in Python 3.
	# Tested on Xubuntu 16.04.

	# First of all let's update the repos:
	sudo apt-get update

	# Only if you have a CUDA-compatible Nvidia card, install CUDA.
	# Check on the Nvidia website what is the latest driver version which supports your card.
	# At the time of this writing it was 367.