manmedia

When all the #Batches# of data samples have been propagated through a Neural Network through #Iterations# such that the necessary
networks weights have been updated in the training process, we can consider an #Epoch#.

For Example - I will take #N# Picutres of Cats and Dogs, and break them into #Batches# of #B#, so that I can pass them all using #I#
iterations through my Neural Network model, update the weights, and consider #E# Epoch to be achieved for training the model. Therefore, 

#E# = #B# x #I#

N.B. It may often appear tempting to mix Epochs and Iterations together. But let's save ourselves from that :D 

manmedia

** THE PROJECT INVOLVES CONNECTING ELB (Application LB) with your Private Subnets and re-route traffic **


WHAT IS COVERED BY THIS EXERCISE
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1. AWS Networking (VPC, Subnet, Security Group, NACL)
2. AWS High Availability (Load Balancer)

WHAT IS OUR ASSUMPTION
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