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Artificial Intelligence and Machine Learning

Lecture #1 part 1: AI and Machine Learning Applications

Dr. Adel Bibi

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Course Website

https://adelbibi.github.io/OxfordAI/

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Artificial Intelligence: Applications

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Artificial Intelligence: Applications

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Dota II: OpenAI

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Artificial Intelligence: Applications

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StartCraft II: DeepMind

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Artificial Intelligence: Computer Vision Applications

  • Classification

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Artificial Intelligence: Computer Vision Applications

  • Object Detection

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Artificial Intelligence: Computer Vision Applications

  • Semantic Segmentation

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Artificial Intelligence: Computer Vision Applications

  • Multi Object Tracking

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Artificial Intelligence: Computer Vision Applications

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  • Activity Localization in Video

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Artificial Intelligence: Computer Vision Applications

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  • 3D Reconstruction

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Artificial Intelligence: Computer Vision Applications

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  • Text to 3D and Few Images to 3D

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https://www.matthewtancik.com/nerf

https://www.meshy.ai/discover

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Artificial Intelligence: Computer Vision Applications

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  • Text to Video

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https://openai.com/sora/

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Artificial Intelligence: Computer Vision Applications

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  • Self Driving Cars

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Artificial Intelligence: Computer Vision Applications

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Artificial Intelligence: The Big Picture

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  • Applications are endless
  • The bottom line is, you have an input, could be images, videos, audio, text, etc, and the output is a the solution you wish to achieve

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Artificial Intelligence: The Big Picture

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  • Applications are endless
  • The bottom line is, you have an input, could be images, videos, audio, text, etc, and the output is a the solution you wish to achieve
  • For cats and dogs classification:

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Artificial Intelligence: The Big Picture

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  • For cats and dogs classification:
    • you feed in an image of a cat and/or dog
    • there is some black box “magic” for now
    • the black box produces what it “thinks” this image is
    • the process of finding the parameters of this black box is called “learning” from “machine learning”

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The AI Taxonomy

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The Learning Taxonomy

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  • We will focus on a popular class of artificial intelligence called “machine learning”

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The Learning Taxonomy

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  • We will focus on a popular class of artificial intelligence called “machine learning”
  • Computer vision is mostly applying machine learning to visual data

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The Learning Taxonomy

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  • We will focus on a popular class of artificial intelligence called “machine learning”
  • Computer vision is mostly applying machine learning to visual data
  • What about the “learning” part of “machine learning? Are there many learning procedures?

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The Learning Taxonomy

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The Learning Taxonomy

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Regression

Classification

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About this Course

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  • We will look at Artificial Intelligence and Machine learning theory
  • We will also look at practical implementation of AI and ML algorithms
  • Some of the topics we will look into are:
    • Python Programming
    • Linear Regression
    • Logistic Regression
    • Neural Networks
    • Convolutional Neural Networks (Deep Learning)
    • LLMs;
      • What are they?
      • Pretraining, supervised finetuning, RLHF
      • What are tokenizers
      • Self-attention and more

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Python Programing and Maths Review

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  • Please make sure to go through the review material
    • Python:
      • Exercise: Numbers
      • Exercise: Strings
      • Exercise: Lists
      • Exercise: Dictionaries
      • Exercise: Tuples
      • Exercise: IF,FOR, and While
      • Exercise: Numpy
    • Maths:
      • Linear Algebra
      • Probabilities
      • Optimization

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Artificial Intelligence: Computer Vision Applications

  • Activity Localization in Video

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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Artificial Intelligence: Computer Vision Applications

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  • Is it that difficult?
  • A “Stop Sign” use case

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Karpathy’s talk at ScaledML, 2020.

Oxford International Study Abroad

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