simon Cazoulable

## install_caffe2_detectron.sh
# Install script of Caffe2 and Detectron on AWS EC2
#
# Tested environment:
#   - AMI: Deep Learning Base AMI (Ubuntu) Version 6.0 - ami-ce3673b6  (CUDA is already installed)
#   - Instance: p3.2xlarge (V100 * 1)
#   - Caffe2: https://github.com/pytorch/pytorch/commit/731273b8d61dfa2aa8b2909f27c8810ede103952
#   - Detectron: https://github.com/facebookresearch/Detectron/commit/cd447c77c96f5752d6b37761d30bbdacc86989a2
#
# Usage:
#   Launch a fresh EC2 instance, put this script on the /home/ubuntu/, and run the following command.

## timeseries_cnn.py
#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential
	# Install script of Caffe2 and Detectron on AWS EC2
	#
	# Tested environment:
	# - AMI: Deep Learning Base AMI (Ubuntu) Version 6.0 - ami-ce3673b6 (CUDA is already installed)
	# - Instance: p3.2xlarge (V100 * 1)
	# - Caffe2: https://github.com/pytorch/pytorch/commit/731273b8d61dfa2aa8b2909f27c8810ede103952
	# - Detectron: https://github.com/facebookresearch/Detectron/commit/cd447c77c96f5752d6b37761d30bbdacc86989a2
	#
	# Usage:
	# Launch a fresh EC2 instance, put this script on the /home/ubuntu/, and run the following command.
	#!/usr/bin/env python
	"""
	Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
	"""

	from __future__ import print_function, division

	import numpy as np
	from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
	from keras.models import Sequential