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Brain Computer interface and Deep learning

person icon Riad Almadani

4.6

Brain Computer interface and Deep learning

BCI | Deep learning | Machine Learning | classification | Image Generation

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Riad Almadani

category icon Development ,Data Science,

Lectures -8

Duration -24 mins

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4.6

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Course Description

Join us for an awesome journey into the world of Brain-Computer Interfaces in "Mind Meets Machine: Exploring Brain-Computer Interfaces (BCI)". Find out how BCIs evolved from first experiments in the 1950's and how they have evolved to become one of the most exciting technologies around today.

In the course, you learn about EEG signals-the electrical waves of our brains. You learn how to use some of the powerful tools behind modern AI, deep neural networks, and understand how important features can be abstracted from brain data. We will bridge the gap of complexity that these signals carry between the mind and the machine.

We will take you step by step through how you might create such advanced systems for the classification of your own thoughts using deep neural networks. Imagine extracting and visualizing the very images formed in your brain-as we can do so with this course. Practice building BCI applications to real-world problems with hands-on projects.

In easy-to-follow lessons that combine the theoretical with practical exercises through which you can apply what you've learned, this course will take you learning along. As the class continues, so will you be positioned to develop exciting BCI applications bridging the human mind with new and interesting ways of relating to technology. Let's join in on the future of neuroscience and AI! Be part of a revolution while changing your mind about what is possible in the brain.

Goals


This course introduces you to EEG signalswhich are electrical waves our brains produce. You will learn how to make use of deep neural networks, powerful tools behind modern AI, and how to extract the most important features from brain data. We will explore such complexities and unlock how to make them useful to bridge the gap between mind and machine. This course will take you through understanding EEG signals, electrical waves produced in the human brain. It will go further to guide one on using deep neural networks, which are tools behind modern AI, and how to extract important features from brain data. We plunge into the depths of these signals and how they may be harnessed to really close the gap between mind and machine.

Prerequisites

1- Python Basics

2- Deep Learning Basics




Brain Computer interface and Deep learning

Curriculum

Check out the detailed breakdown of what’s inside the course

An Introduction about BCI

3 Lectures
  • play icon What is BCI ? 01:22 01:22
  • play icon What is EGG signal ? 00:59 00:59
  • play icon How to create a notebook ? 02:14 02:14

Deep Learning

5 Lectures
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Instructor Details

Riad Almadani

Riad Almadani

Riad

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