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Parameters Machine Learning Deep Learning
Execution Machine Learning algorithms take much less time to Usually, Deep Learning algorithms take
Time train. a long time to train because there are
many parameters making the training
time longer than usual.
ANN
ANN stands for Artificial Neural Network. It is made up of neurons that help in image recognition and image
processing. It uses Deep Learning algorithm that takes an input image, processes it by assigning learnable weights
and biases to various aspects/objects in the image which will help the system to differentiate one image from the
other with maximum accuracy. We can say that ANN reduces size, improves features and gives the probability
value of the input image. They are trained to identify and extract the best features from the images.
Car
Input Artificial Neural Network Output
Real-world examples of Deep Learning
Let us learn about some real-world examples of Deep Learning:
• Object Identification: Deep learning is used in identifying and classifying objects, animals, or scenes in images.
Its application can be seen in Google Photos where it automatically categorises images. And in medical imaging
for detecting diseases like tumors.
Apple
Labelled
PHOTOS
Mango Apple
• Digit Recognition: In this process, models are trained to identify handwritten digits. The model learns patterns
from a large dataset of images. This process demonstrates how Deep Learning can automate tasks requiring
pattern recognition.
116 Artificial Intelligence Play (Ver 1.0)-X

