Assessment Brief

Microsoft Azure is a cloud computing platform. It provides a wide range of

services, including the virtual machines, databases, analytics, AI and more. It offers

a robust set of services and tools for implementing $AI$ and machine learning

solutions across various domains. It can be used to build, deploy and manage

applications and services through Microsoft's global network of data centres.

There are various applications of $AI$ in Azure which use Azure services and tools.

These Azure services and tools extend to a wide range of applications, from image

recognition to natural language understanding to predictive analytics and

recommendation systems.

You are required to use azure machine learning that realises the practical

solution to facial recognition discussed in the first assignment. You are required

to provide the details of the implementation approach and a discussion of the

findings. You are required to conduct data preparation$/$transformation to make

the data ready for the model. The components you must complete are:

Exploration of the facial recognition dataset you have chosen in the

previous assignment such as Data preparation$/$transformation and some

visualisations for the data pre$-$processed $[25$ Marks$]$

The implementation of the AI including the design, choose the models,

training and validation $[30$ Marks$]$

The implementation of the inference model and testing the inference

model by some unseen examples $[20$ Marks$]$

Discussion of the findings from the AI model built i$.$e$.,$ the performance

metrics and their visualisations the data set is made of letssay $400$ images lets say its based on pipline preporcess the data build and train fine tune the model evalute and depoly i want more explanation in steps ad idotnt think we writigna code