Course Overview
- Course Title: Brain Computer Interface with Deep Learning
- Instructor: Riad Almadani
- Target Audience:
- Machine Learning Engineers
- Data Scientists
- AI Enthusiasts
- Neuroscience Students
- Prerequisites:
- Python Basics
- Deep Learning Basics
- Curiosity and Creativity
Curriculum Highlights
- Key Topics Covered:
- Introduction to Brain-Computer Interfaces (BCI)
- Understanding EEG Signals
- Deep Neural Networks
- Feature Extraction
- Building a Thought Classification System
- Extracting Images from Brain Data
- Key Skills Learned:
- Analyzing EEG signals
- Implementing deep neural networks
- Extracting features from brain data
- Classifying thoughts using deep learning
- Visualizing brain images
Course Format
- Duration: 4.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- 17 downloadable resources
- Access on mobile and TV
- Certificate of completion