Artificial Neural Networks with NeuroLab and Python

A hands-on approach

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’ll learn

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

Course Content

  • Lessons.

Artificial Neural Networks with NeuroLab and Python

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
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