The term ‘neural network’ refers to a type of machine learning that artificially recreates the way information is processed by the human brain. Artificial neural networks can incorporate new data from which to learn through a specialised algorithm. For more information visit: https://www.zakariamahmood.com/artificial-intelligence-changing-the-landscape-of-science

1. I N T R O D U C I N G
Zakaria Mahmood
NEU R AL NET WORKS

2. INTRODUCING NEURAL NETWORKS
Zakaria Mahmood
The term ‘neural network’ refers to a type of machine
learning that artificially recreates the way information
is processed by the human brain. Artificial neural
networks can incorporate new data from which to learn
through a specialised algorithm.
Zakaria Mahmood | 2

3. The development of artificial neural
networks has resulted in great le-
aps forward in the world of artificial
intelligence, which in turn is alte-
ring the way we do science.
THE DEVELOPING
BRAIN
Neural networks are
like developing brains in
human children, in that
they need to learn infor-
mation rather than sim-
ply being programmed
to perform a specific
task. This learning can
be supervised, unsuper-
vised or reinforced.
The development of ar-
tificial neural networks
has resulted in great le-
aps forward in the world
of artificial intelligence,
which in turn is altering
the way we do science.
NEURONS AND
PERCEPTRONS
Neurons are the human
brain’s basic units. In
artificial neural networ-
ks, these units are called
perceptrons. Each per-
ceptron is joined together
in a large mesh network
and is capable of accom-
plishing simple signal
processing.
MACHINE
LEARNING
A perceptron network
is capable of learning
on what is called a deep
level, just like the hu-
man brain. Machines
with neural networks are
capable of analysing tra-
ining examples to learn
how to perform a certain
task, such as recognising
objects or patterns based
on the available data.
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BY VISITING THE BLOG OF ZAKARIA MAHMOOD.
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