Artificial Neural Networks with NeuroLab and Python

A hands-on approach

Highest Rated

Rating: 4.6 out of 5

4.6  (84 ratings)

17,724 students

Created by Cristi Zot

Last updated 7/2020

English

What you'll learn

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.

Enroll now

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

Course content

1 section • 11 lectures • 1h 11m total length

Instructor : Cristi Zot

Cybersecurity Researcher | Machine Learning Enthusiast

Cristi Zot

4.3 Instructor Rating

2,480 Reviews

121,260 Students

7 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.