aa1607

## 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.

## layers_tied.py
from keras import backend as K
from keras import activations, initializations, regularizers, constraints
from keras.engine import Layer, InputSpec
from keras.utils.np_utils import conv_output_length
from keras.layers import Convolution1D, Convolution2D
import tensorflow as tf

class Convolution1D_tied(Layer):
    '''Convolution operator for filtering neighborhoods of one-dimensional inputs.
    When using this layer as the first layer in a model,

## install-gpu-gce.sh
#!/bin/bash
if ! dpkg-query -W cuda; then
  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
  dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
fi
apt-get update
apt-get -y upgrade
apt-get -y install tmux build-essential gcc g++ make binutils software-properties-common cuda unzip
modprobe nvidia
nvidia-smi

## figure_grid.py
"""
Examples:

with figure_grid(5, 3) as grid:
  grid.next()
  # plot something
  grid.next()
  # plot something
  # ...etc


## keras_attention_wrapper.py
"""
A keras attention layer that wraps RNN layers.

Based on tensorflows [attention_decoder](https://github.com/tensorflow/tensorflow/blob/c8a45a8e236776bed1d14fd71f3b6755bd63cc58/tensorflow/python/ops/seq2seq.py#L506)
and [Grammar as a Foreign Language](https://arxiv.org/abs/1412.7449).

date: 20161101
author: wassname
url: https://gist.github.com/wassname/5292f95000e409e239b9dc973295327a
"""
	# 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.
	from keras import backend as K
	from keras import activations, initializations, regularizers, constraints
	from keras.engine import Layer, InputSpec
	from keras.utils.np_utils import conv_output_length
	from keras.layers import Convolution1D, Convolution2D
	import tensorflow as tf

	class Convolution1D_tied(Layer):
	'''Convolution operator for filtering neighborhoods of one-dimensional inputs.
	When using this layer as the first layer in a model,
	#!/bin/bash
	if ! dpkg-query -W cuda; then
	curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
	dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
	fi
	apt-get update
	apt-get -y upgrade
	apt-get -y install tmux build-essential gcc g++ make binutils software-properties-common cuda unzip
	modprobe nvidia
	nvidia-smi
	"""
	Examples:

	with figure_grid(5, 3) as grid:
	grid.next()
	# plot something
	grid.next()
	# plot something
	# ...etc
	"""
	A keras attention layer that wraps RNN layers.

	Based on tensorflows [attention_decoder](https://github.com/tensorflow/tensorflow/blob/c8a45a8e236776bed1d14fd71f3b6755bd63cc58/tensorflow/python/ops/seq2seq.py#L506)
	and [Grammar as a Foreign Language](https://arxiv.org/abs/1412.7449).

	date: 20161101
	author: wassname
	url: https://gist.github.com/wassname/5292f95000e409e239b9dc973295327a
	"""