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CS437 CS5317 EE414 EE513 L01 Introduction

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CS437/CS5317/EE414/EE517
Deep Learning
Murtaza Taj
murtaza.taj@lums.edu.pk
Lecture 1: Introduction
Mon, 16th Jan 2023
Team
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Dr. Murtaza Taj (murtaza.taj@lums.edu.pk) - PhD Student
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Fezan Rasool (fezan.rasool@lums.edu.pk) - PhD Student
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Office Hours: Friday 5:00 pm to 6 pm
Shayaan Jamil (23100208@lums.edu.pk) - Senior
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Office Hours 1: Tues 2:30 - 3:30pm
Office Hours 1: Wed 3:30 - 4:30pm
Office Hours: Tue/Thurs 11am to 12 mid-day
Zohaib Khan (24100074@lums.edu.pk) - Junior
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Office Hours: Mon and Wed 11:30am-12:45pm
Introduction
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Murtaza Taj (PhD)
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Phd - Queen Mary University of London in Dec 2009
Joined LUMS in Jan 2011
Faculty Director Technology for People Initiative (2016-2022)
Director Computer Vision & Graphics Lab
Research: 2D and 3D Scene Understanding, Image & Processing,
Computer Graphics, Machine Learning
tpi.lums.edu.pk
cvlab.lums.edu.pk
Computer Vision & Graphics Lab (CVG Lab)
https://cvlab.lums.edu.pk
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Remote Sensing
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Digital Cultural Heritage
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2D/3D Scene Understanding
3D Object Retrieval, Point cloud segmentation
Medical Imaging
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Image matching
Retrieval, classification, object detection
Generative Adversarial Networks
Image classification
Others
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Self-driving cars (End-to-end, How well am I driving)
Visual Question Generation (NLP), Pose Estimation
Murtaza Taj
Co-founder Groopic Inc. CA
What is the core business of Google & Facebook?
What is the core business
of Google & Facebook?
Murtaza Taj
Co-founder Ingrain Media Inc. CA
Course Outline
Course Introduction
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Assignments and Readings
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Programming Environment
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Python (Pytorch, Colab)
Late Submission Policy
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Written and programming
assignments (approx 5)
5%/24 hrs, zero on 6th day
Pre-req
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Intro to Programming
Linear Algebra
Instrument
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Assignments x 5
30
Project & Paper
20
Quizzes (LMS, in-class)
10
Mid-term Exam
15
Final Exam
25
Course Outline
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Introduction to Machine Learning
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Neural Networks (WA1)
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Structured Pruning, Knowledge Distillation
Object Detection (Project)
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Language Models, transformers
Neural Network Compression (PA4)
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Autoencoder, Generative Adversarial Networks
Recurrent Neural Networks (PA3)
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Convolution, Optimizer, Case Studies
Representation Learning (PA2)
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Linear regression, Gradient Descent, Forward & Back propagation
Convolutional Neural Networks (PA1)
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What, Why
Yolo, SSD…
Graph Neural Networks
Reinforcement Learning
Textbook
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Neural Networks and Deep Learning
By Michael Nielsen
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http://neuralnetworksanddeeplearning.com/
"Deep Learning" by Yoshua Bengio, Ian
Goodfellow, and Aaron Courville
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https://www.deeplearningbook.org/
Any Questions
Past:
Can AI ever achieve human level intelligence?
Science Fiction
Movie’s of 1980/90
Present:
AI is superceding human intelligence
Traditional Methods
Deep Learning Methods
Deep Fakes
Present:
AI is superceding human intelligence
2017
Present:
AI is superceding human intelligence
OpenAI
GPT: Generative Pre-trained Transformer 3
language model that uses deep learning to produce
human-like text.
OpenAI
Present:
AI is superceding human intelligence
Present:
AI is superceding human intelligence
2
1
1
2
3
3
OpenAI
Any Questions
Any Questions
References
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Deep Learning by Yann LeCun - NYU
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https://cds.nyu.edu/deep-learning/?
fbclid=IwAR3o10bWoTouw0koWuhaFvH4InENkWJGfBitvGAs0UoYtJU_izORJ
weuHLA
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