Artificial Neural Networks [ Theory & Hands-On ]
Artificial Neural Networks [ Theory & Hands-On ] 0.0 (0 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
by Achala Chathuranga Aponso
What you'll learn
- Beginners Guide to Artificial Neural Networks - Theory
- Building Artificial Neural Networks with KERAS
- Setting up the Environment for building Artificial Neural Networks
- Python Basics
- Computer & Internet connection
- Basic Python skills - However python basics are revised again in this course
At the end of the Course you will understand the basics of Artificial Neural Networks.
The course will have step by step guidance for Artificial Neural network development in Python. [From Scratch]
Setting up the Environment for Artificial Neural Networks ( Python Machine Learning )
Artificial Neural Networks - Theory [For absolute beginners]
Artificial Neural Networks [Practical] with Python & [From Scratch]
KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step [Framework]
Evaluation Metrics
Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]
- Anyone curious about Data Science, Machine Learning & Artificial Neural Networks
- University Students
- Researchers
I have 9 years of work experience as a Researcher, Lecturer, Project Supervisor & Engineer.
MSc Artificial Intelligence (University of Moratuwa), BSc Software Engineering - First Class Honours (University of Westminster),SCJP, SCWC
I have completed a MSc in Artificial Intelligence.
Completed BSc Software Engineering - First Class Honors from University of Westminster (UK).
Sun Certified Java Programmer (SCJP). – 93% and a Sun Certified Web Component Developer 97%. .
I have research experience in Data mining, Machine Learning , Cloud computing, Business Intelligence & Software Engineering
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