Course curriculum

  • 1
  • 2

    Module 01: Course Introduction

    • Segment - 01 - Introduction
    • Segment - 02 - Why AI and Deep Learning?
    • Segment - 03 - Get Started With the Python Data Science Environment: Anaconda
    • Segment - 04 - Anaconda for Mac Users
    • Segment - 05 - The iPython Environment
  • 3

    Module 02: Introduction to Python Data Science Packages

    • Segment - 06 - Python Packages for Data Science
    • Segment - 07 - Introduction to Numpy
    • Segment - 08 - Create Numpy Arrays
    • Segment - 09 - Numpy Operations
    • Segment - 10 - Numpy for Basic Matrix Arithmetic
    • Segment - 11 - Introduction to Pandas
    • Segment - 12 - Read in Data from CSV
    • Segment - 13 - Read in Data from Excel
    • Segment - 14 - Basic Data Cleaning
  • 4

    Module 03: Introduction to Keras

    • Segment - 15 - What is Keras?
    • Segment - 16 - Keras Installation-Windows
    • Segment - 17 - Keras Installation on Mac OS
  • 5

    Module 04: Some Basic Concepts

    • Segment - 18 - What is Machine Learning?
  • 6

    Module 05: Neural Networks With Keras

    • Segment - 19 - Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)
    • Segment - 20 - Activation Functions
    • Segment - 21 - Multi Layer Perceptron (MLP) With Keras
    • Segment - 22 - What is Backpropagation?
    • Segment - 23 - Keras MLP For Binary Classification
    • Segment - 24 - Accuracy Assessment For Binary Classification
    • Segment - 25 - Keras MLP for Multiclass Classification
    • Segment - 26 - Keras MLP for Regression
  • 7

    Module 06: Unsupervised Learning With Keras

    • Segment - 27 - What is Unsupervised Learning?
    • Segment - 28 - Autoencoders for Unsupervised Classification
    • Segment - 29 - Autoencoders in Keras (Sparsity Constraints)
    • Segment - 30 - Autoencoders in Keras (Simple)
  • 8

    Module 07: Deep Learning For Tensorflow & Keras

    • Segment - 31 - DNN Classifier With Keras
    • Segment - 32 - DNN Classifier With Keras-Example 2
  • 9

    Module 08: Convolution Neural Network (CNN) For Image Analysis

    • Segment - 33 - Introduction to CNN
    • Segment - 34 - CNN Workflow for Keras
    • Segment - 35 - CNN With Keras
    • Segment - 36 - CNN on Image Data with Keras-Part 1
    • Segment - 37 - CNN on Image Data with Keras-Part 2