| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| ''' | |
| This script just show the basic workflow to compute TF-IDF similarity matrix with Gensim | |
| OUTPUT : |
##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
| // | |
| // main.cpp | |
| // sahil | |
| // | |
| // Created by Adimin on 08/09/15. | |
| // Copyright 2015 __MyCompanyName__. All rights reserved. | |
| // | |
| #include <iostream> | |
| #include <sstream> |
| /// Write a program to implement nfa to dfa. | |
| #include<iostream> | |
| #include<cstdio> | |
| #include<vector> | |
| #include<fstream> | |
| #include<cstring> | |
| #include<algorithm> | |
| #include<sstream> | |
| #include<map> |
| #define GLUT_DISABLE_ATEXIT_HACK | |
| #include <windows.h> | |
| #include<iostream> | |
| #include <iostream> | |
| #include <gl\glut.h> | |
| using namespace std; | |
| // Initial Position of the Ball | |
| float x_position = 0.0; | |
| float y_position = 0.0; |