Machine Learning: 2 Books in 1: Machine Learning for Beginners, Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application

Applications of Neural Network Models
Image processing and recognition of character: ANNs have an inherent
ability to consume a variety of inputs, which can be processed to derive
concealed as well as intricate, non-linear relationships, ANNs play a
significant role in the recognition of images and characters. Character
recognition such as handwriting adds diverse applicability in the
identification of fraudulent monetary transactions and even matters
concerning national security. Image recognition is a booming area with
extensive applications ranging from facial recognition on the social media
platforms like "Instagram" and "Facebook", as well as in medical sciences
for detect cancer in patients to satellite image processing for environmental
research and agricultural uses. Advancements in the field of ANN has now
laid the foundation for "deep neural networks" that serve as the basis for
"deep learning" technology.
A variety of groundbreaking and transformative developments in cutting
edge technologies like computer vision, voice recognition, and natural
language processing has been achieved. ANNs are effective and

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sophisticated models with a broad variety of utilizations. Some of the real-
world applications are:
“Speech Recognition Network developed by Asahi Chemical”;
identification 
of 
dementia 
from 
the 
electrode-
electroencephalogram study (the leading developer Anderer,
noted that the ANN had higher identification accuracy than "Z
statistics" and "discriminatory evaluation”).
Generating predictions of potential myocardial infarction in the
patient based on their electrocardiogram (ECG). In their research,
Baxt and Skora revealed that the diagnostic sensitivity and
specificity of the doctors in predicting myocardial infarction
was 73.3% and 81.1% respectively, while the diagnostic
sensitivity and specificity of the artificial neural network was
96.0% and 96.0% respectively.
Software for recognition of cursive handwriting utilized by the
"Longhand program" of "Lexicus2" executed on current notepads
like "NEC Versapad" and "Toshiba Dynapad".
Optical character recognition (OCR) used by fax machines
like "FaxGrabber" developed by "Calera Recognition
System" and "Anyfax OCR engine" licensed by "Caere
Corporation" to other companies including well known "WinFax
Pro" and “FaxMaster”.
“Science 
Applications 
International 
Corporation 
or
(SAIC)" developed the technology to detect bombs in

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luggage called “thermal neutron analysis (TNA)”, with the use
of neural network algorithm.