Artificial Neural Networks [ Theory & Hands-On ]

Go to class
Write Review

Artificial Neural Networks [ Theory & Hands-On ] provided by Udemy is a comprehensive online course, which lasts for 2-3 hours worth of material. Artificial Neural Networks [ Theory & Hands-On ] is taught by Academy of Computing & Artificial Intelligence. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • [Beginners Guide] Developing Artificial Neural Networks from Scratch & with a Framework

    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

    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 ]