I recently finished an online course and want to introduce you more about it here:

Table of contents:

45 Videos:

Introduction
  • Introduction to the course
  • Who, what …
  • Difference AI, ML, and DL
  • Introduction of the presenter
  • Structure of this course
  • What is AI?
More about Artificial Intelligence
  • The computer equivalent to a brain cell
  • What can you do with AI
  • Who uses AI?
  • Difference AI, ML, DL
  • History of AI
  • Future of AI
  • Is AI always necessary

Look closer

  • AI reverses question
  • Garbage in Garbage out
  • 2 * 3 = 5.99
  • Basic mathematics

Artificial Intelligence under the hood

  • Model creations
  • CNN is the state of the art
  • Kernels
  • Layer types
  • Some terms
  • Activation

Hyperparameters

  • Padding, Striding
  • Learning rate, momentum
  • Loss function
  • Overfitting (Underfitting)

Network architectures

  • AlexNet
  • VGG16 and VGG19
  • ResNet
  • Inception

Working environment

  • Setup and tools
  • Key steps in an analytic project
  • The importance of your log system
  • When would you want to use SVM over Random Forest (and vice versa)?
  • Why is the Softmax non-linearity function often the last operation in a complicated neural network?
  • Speed up
  • Directory structure
  • Anaconda or pip?
  • PyCharm CE or professional?
  • Jupyter Notebook
  • Do it!

Isn’t Artificial Intelligence exiting?

  • I need help
  • What’s next?
  • Copyright

58 Quizzes

Enroll to the courses at:

Artificial Intelligence – Basics (part 1) at https://courses.elmit.com/courses/artificial-intelligence-basics-part-1/

Artificial Intelligence – Basics (part 2) at https://courses.elmit.com/courses/artificial-intelligence-basics-part-2/

Artificial Intelligence – Basics (part 3) at https://courses.elmit.com/courses/artificial-intelligence-basics-part-3/