The document provides an introduction to deep learning, defining it as a subset of machine learning that utilizes artificial neural networks to learn from large datasets. It discusses the inspiration behind deep learning based on brain functions, differentiates it from traditional machine learning, and explains the structure of convolutional neural networks used in image classification. Additionally, various applications of deep learning are mentioned, including speech recognition and natural language processing.

1. Introduction to Deep Learning
Prepared By
Md. Mizanur Rahman Nayeem
Daffodil International University
Dhaka, Bangladesh
Date : 09/01/2019
Email : mizanur15-4910@diu.edu.bd

2. Introduction to Deep Learning
Contents
 What is Deep Learning?
 Inspired by the Brain
 Machine Learning vs Deep Learning
 Convolutional Neural Network
 Deep Neural Network
 Applications
 Deep Learning Tools
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3. What is Deep Learning ?
 Deep learning is a subset of machine learning where artificial
neural networks, algorithms inspired by the human brain, learn
from large amounts of data.
 Deep Learning was first introduced to the machine learning
community by Rina Dechter in 1986.
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4. Inspired by the Brain
 Deep Learning were inspired by the connections of the neurons
and synapses in the brain.
 Visual cortex has multiple stages which implies that our
thought process is hierarchical in nature. Deep Learning can
“theoretically” learn any function.
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5. Machine Learning vs. Deep Learning
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6. Convolutional Neural Network
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 In Deep Learning, a convolutional neural network (CNN) is a class
of deep neural networks which are commonly applied to image
classification.
 The design of these networks is made up of series of convolutional,
pooling, and fully connected layers.

7. Deep Neural Network
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8. Applications
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 Image Classification
 Speech Recognition
 Natural Language Processing (NLP)
 Optical Character Recognition (OCR)

9. Deep Learning Tools
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10. References
 “Deep Learning.” Wikipedia, Wikimedia Foundation, Available:
en.wikipedia.org/wiki/Deep_learning. Accessed on: Jan. 9, 2019.
 “Introduction to Deep Learning”, Available: http://deeplearning.net/, Accessed on: Jan.
9, 2019.
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