Artificial Neural Networks with NeuroLab and Python

A hands-on approach
Free tutorial
Rating: 4.7 out of 5 (93 ratings)
21,509 students
1hr 12min of on-demand video
English
English [Auto]

You're going to learn hands-on artificial neural networks with neurolab, a lesser-known and traditional Python library for artificial intelligence.

Requirements

  • This is an intermediate level course. You should know Python programming, have basic math knowledge, and basic concepts of machine learning before enrolling.

Description

You're going to learn hands-on artificial neural networks with neurolab, a lesser-known and traditional Python library for artificial intelligence. This is a hands-on course and you will be working your way through with Python and Jupyter notebooks.

What you will learn:

  • Basic concepts of neural networks (refresher)

  • The perceptron

  • Single-layer neural network

  • Multi-layer neural network

  • Recurrent neural networks (RNN)

  • Optical character recognition (OCR)

Who this course is for:

  • This course is for you if want to learn practical machine learning
  • This course is also for you if you're a machine learning professional or work in a management position and want to expand your technical knowledge in the field
  • If you're a student, know some programming and want to learn about artificial neural networks with lesser know libraries, this course is also for you

Instructor

Cybersecurity Researcher | Machine Learning Enthusiast
Cristi Zot
  • 4.5 Instructor Rating
  • 2,849 Reviews
  • 142,047 Students
  • 8 Courses

I’m Cristi. I hold an MS in Civil Engineering and I work as a Cybersecurity Analyst. I've got my Offensive Certified Security Professional Certification a couple of months ago.

Machine learning and AI are currently on my high interests as well and I am looking to combine ML/AI with cybersecurity at some point in the future.


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