Artifical Intelligence

Artifical Intelligence

• Neural Network Introduction 0/6

  • Lecture 1.1
    AI v/s ML v/s Deep learning
  • Lecture 1.2
    Artificial Neural networks – theory
  • Lecture 1.3
    Artificial Neural networks – Mathematical Intution
  • Lecture 1.4
    Activation function theory + Mathematical intution
  • Lecture 1.5
    Optimizer theory + Mathematical Intution
  • Lecture 1.6
    Loss Function theory + Mathematical Intution

• Tensor Flow 0/1

  • Lecture 2.1
    Tensorflow basics, Regression use case

• CNN Overview 0/3

  • Lecture 3.1
    CNN Introduction
  • Lecture 3.2
    Hyper parameter tuning
  • Lecture 3.3
    CNN Implementation – Simple image classification

• CNN Variants 0/6

  • Lecture 4.1
    CNN Variants explanation
  • Lecture 4.2
    lenet-5
  • Lecture 4.3
    Alexnet
  • Lecture 4.4
    VGG16
  • Lecture 4.5
    Resnet
  • Lecture 4.6
    Comparison of CNN Variants

• NLP 0/6

  • Lecture 5.1
    NLP Introduction
  • Lecture 5.2
    Importing text
  • Lecture 5.3
    Text preprocessing
  • Lecture 5.4
    Regular expressions
  • Lecture 5.5
    Word Embeddings
  • Lecture 5.6
    Text classification Project

• Google colab 0/4

  • Lecture 6.1
    Google colab Environment
  • Lecture 6.2
    Hardware checks in environment
  • Lecture 6.3
    Data connections to Google colab
  • Lecture 6.4
    Project execution