Artificial Neural Networks [ Theory & Hands-On ]

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Artificial Neural Networks [ Theory & Hands-On ]
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
Course content
Expand all 15 lectures02:13:06
Introduction
38:40
+Hands-on | Creating Artificial Neural Networks with a Framework
1 lecture29:35
+Hands-on | Creating Neural Networks from Scratch using Python
3 lectures40:49
+Python basics for Artificial Neural Networks
7 lectures24:02
Requirements
  • Computer & Internet connection
  • Basic Python skills – However python basics are revised again in this course
Description

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 ]

Who this course is for:
  • Anyone curious about Data Science, Machine Learning & Artificial Neural Networks
  • University Students
  • Researchers

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