Savitribai Phule Pune University

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Artificial Intelligence in Embedded System Design

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  • Artificial Intelligence in Embedded System Design

Pre-requisites:

Must have completed (Microcontroller Programming & Interfacing)

Programming Crash Course:

  • Python:
    • Basics
    • Loops
    • Blocks and Statements
    • Lists
    • Sets
    • File I/O
    • Modules and Functions
    • OOPs concepts
  • Keras:
    • Introduction
    • Installation and Configuration
  • TensorFlow:
    • Tensors
    • TensorFlow Installation
    • TensorFlow basics

Machine Learning:

  • Introduction
  • Supervised Machine Learning:
    • Data gathering
    • Data Cleaning
    • Data Labeling
    • Build ML models using Python
    • Training and Testing the models
    • Algorithms:
      • Linear and Nonlinear classification
      • Regression Techniques
      • Decision Trees
      • Oblique trees
      • Random Forest
      • Bayesian analysis and Naive Bayes classifier
      • Algorithm Performance
  • Unsupervised Machine Learning
  • Text Classification using Python and NLTK / Naive Bayes

Deep Learning:

  • Introduction to Neural Networks:
    • Deep Neural Networks
    • Perceptrons
    • RNN, CNN, LSTM
    • Deep Belief Network
    • Semantic Hashing
    • Building Deep Learning Models / Neural Networks using Keras and TensorFlow
    • Testing and Training the models
  • Convolutional Neural Networks

AI in Automobile Industry:

  • Introduction
  • Applications of AI in Automobile Industry:
    • Computer Vision
    • NLP
    • Autonomous Driving
    • Sensors
    • Cameras
    • Gathering and Processing Data from Devices / Sensors
    • Vehicle Control Systems
    • Decision Making
    • Automatic Navigation

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