Debarko De debarko

##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

	// PLEASE READ THE NEXT FEW LINES

	// Change district IDs to your required ones as per this link -> https://tinyurl.com/p9e539zt (Thanks @bhattbhavesh91 for creating the CSV)
	// Change the date (No need to add more than 1 date, it will fetch for next 7 days from the entered date)
	// Change the vaccine_name to whichever vaccine you need for 2nd dose.
	// Video to setup a similar script -> https://www.youtube.com/watch?v=3_N5FFegtI4
	// Note the above video doesn't use the same script, use the same steps but copy this script. Rest all steps are same.

	// Config
	var districts = [294, 265];

	// This is WIP (Work in Progress) and this doesn't work, auto booking is still not tested properly. Use the last file cowin_schedule_v2.js
	// If you want use the 3rd file in the list which will alert you as soon as a slot opens up
	// This script tries to automatically book a slot from the list of pincodes given.
	// It will book the first available slot.
	// You can get the beneficiary ID from your networks tab when the dashboard loads
	// Please do change the date to which ever day you are searching for. (Works only for a few days in advance)

	// Config
	// ------

	// This script will alert you whenever some slot opens up on the given date within the given District IDs
	// Change the districts to your needs as per your city
	// Change the dateArr to add your convinent set of dates

	// For further update do checkout http://twitter.com/debarko/

	// How To setup Video -> https://www.youtube.com/watch?v=3_N5FFegtI4

	// Steps to use
	// 1. Update Config

	------------------------------------------------------------------
	------------------------------------------------------------------
	------------LUA SUMMARY-------------------------------------------
	------------------------------------------------------------------
	------------------------------------------------------------------
	--This is a comment. For Lua, comments are invisible.
	--We can type everything we want in here, without causing errors
	--To make a multi-line comment we use --[[]]

	# It only has two dependencies numpy and tensorflow
	import numpy as np
	import tensorflow as tf

	from config import cfg


	# Class defining a Convolutional Capsule
	# consisting of multiple neuron layers
	#