| print("UPDATE AUG 2023: this script is beyond old and broken") | |
| print("You may find interesting and more up to date resources in the comments of the gist") | |
| exit() | |
| from slacker import Slacker | |
| import json | |
| import argparse | |
| import os | |
| # This script finds all channels, private channels and direct messages |
##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
| """ Theano CRBM implementation. | |
| For details, see: | |
| Taylor GW, Hinton GE, Roweis ST. Modeling Human Motion Using Binary Latent Variables. | |
| In: Advances in Neural Information Processing Systems 19. MIT Press; 2007. pp. 1345–1352. | |
| Sample data: | |
| https://uoguelphca-my.sharepoint.com/:u:/g/personal/gwtaylor_uoguelph_ca/EfJARkZuiX1JmwMKQxQqKJMBaMBUNOcF83FW_n9gk7OIbg?e=fnCjet | |
| @author Graham Taylor""" | |
| import numpy |
