Artificial Neural Networks [ Theory & Hands-On ]

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Overview

Title: Artificial Neural Networks [Theory & Hands-On]

Description: Delve into the world of Artificial Neural Networks with this comprehensive course designed for beginners. Learn the foundations of Artificial Neural Networks theory and gain practical experience by building models from scratch using Python and frameworks such as KERAS.

What you will learn:

  • Understanding the basics of Artificial Neural Networks - Theory
  • How to build Artificial Neural Networks with KERAS
  • Setting up the development environment for creating Artificial Neural Networks
  • Python programming fundamentals

By the end of this course, participants will have a solid understanding of Artificial Neural Networks and be able to develop their networks in Python, starting from scratch. The course includes a detailed step-by-step guide for setting up the development environment, a beginner-friendly introduction to neural networks theory, practical exercises with Python and KERAS, and a complete project on Deep Learning for Handwritten Digits Recognition.

Provider: Udemy

Categories: Neural Networks Courses

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provider Udemy

Udemy

2993 Courses


Udemy

pricing Paid Course
language English
duration 2-3 hours
sessions On-Demand
level Beginner