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aind's Introduction

AI nanodegree is to master skills and tools used by the most innovative AI teams across the globe as you delve into specializations, and gain experience solving real-world challenges.

Topics include:

  • Search and Optimization
  • Logic, Reasoning, and Planning
  • Building Models of Probability
  • Natural Language Processing
  • Computer Vision
  • And much more!

Co-Created by

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Foundations of AI - Term 1

Projects and Labs

  1. Solve a Sudoku with AI
  2. Build a Game-Playing Agent
  3. Lab: Teaching Pac-Man to Search
  4. Lab: Simulated Annealing
  5. Lab: Constraint Satisfaction N-Queens
  6. Implement a Planning Search
  7. Build a Sign Language Recognizer

Deep Learning and Applications - Term 2

Projects and Labs

  1. Lab: MNIST
  2. Lab: IMDB
  3. Lab: CIFAR-10
  4. CNN Dog Breed Classifier
  5. RNN Apple Stock & Sherlock Holmes
  6. Lab: Affectiva SDK - Mimic Me!
  7. Facial Keypoint Detection

Course Overview

Term 1
  • Welcome to the AI Nanodegree
  • Setting up with Anaconda
  • Solving a Sudoku with AI
  • Introduction to AI
  • Introduction to Game Playing
  • Advanced Game Playing
  • Search
  • Simulated Annealing
  • Constraint Satisfaction
  • Logic and Reasoning
  • Planning
  • Probability
  • Bayes Nets
  • Inference in Bayes Nets
  • Hidden Markov Models
Term 2
  • Deep Neural Networks
  • Convolutional Neural Networks
  • CNN Project: Dog Breed Classifier
  • Intro to TensorFlow
  • Autoencoders
  • Recurrent Neural Networks
  • Long Short-Term Memory Networks (LSTM)
  • Implementing RNNs and LSTMs
  • Hyperparameters
  • Sentiment Prediction with RNN
  • RNN Project: Time Series Prediction and Text Generation
  • Generative Adversarial Networks
  • Deep Convolutional GANs
  • Semisupervised Learning
Concentration
  • Intro to Computer Vision
  • Mimic Me!
  • Image Representation and Analysis
  • Image Segmentation
  • Features and Object Recognition

AIND

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