| # -*- coding: utf-8 -*- | |
| import os | |
| import sys | |
| import glob | |
| import numpy as np | |
| try: | |
| import ujson as json | |
| except ImportError: | |
| import json |
| # -*- coding: utf-8 -*- | |
| import os | |
| import sys | |
| import glob | |
| try: | |
| import ujson as json | |
| except ImportError: | |
| import ujson as json | |
| import argparse |
| import logging | |
| def log_event(func): | |
| """ | |
| """ | |
| def wrapper(*args, **kwargs): | |
| # Code before function call | |
| # <ADD IT HERE> |
| # Phase 1 - Preparation: | |
| Acquire data | |
| Reformat and clean data | |
| # Phase 2 - Analysis: | |
| Edit analysis scripts | |
| Execute analysis scripts | |
| Inspect outputs | |
| Debug |
| # Phase 1 - Preparation: | |
| Acquire data | |
| Reformat and clean data | |
| # Phase 2 - Analysis: | |
| Edit analysis scripts | |
| Execute analysis scripts | |
| Inspect outputs | |
| Debug |
| #!/usr/bin/env bash | |
| #Code adapted from https://gist.github.com/yangj1e/3641843c758201ebbc6c (Modified to Python3.5) | |
| cd ~ | |
| #wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.4.0-Linux-x86_64.sh | |
| wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda3-2.4.1-Linux-x86_64.sh | |
| bash Anaconda3-2.4.1-Linux-x86_64.sh -b | |
| echo 'PATH="/home/ubuntu/anaconda3/bin:$PATH"' >> .bashrc | |
| . .bashrc |
| SELECT * FROM table | |
| WHERE _ROWID_ >= (abs(random()) % (SELECT max(_ROWID_) FROM table)) | |
| LIMIT 1 |
| ONE_SENTENCE_DESCRIPTION | |
| PARAGRAPH_DESCRIPTION | |
| Parameters | |
| ---------- | |
| PARAM_NAME : DTYPE | |
| DESCRIBE PARAMETER | |
| ... | |
| Returns | |
| ------- | |
| RETURN_NAME : DTYPE |
##VGG16 model for Keras
This is the Keras model of the 16-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
| # DEFINE ENVIRONMENT VARIABLES | |
| apt-get update | |
| apt-get upgrade -y | |
| # INSTALL PACKAGES | |
| apt-get install -y aria2 | |