Artificial Neural Networks in Python

This course is curated essentially to explain the basic principles and working of neural networks which will be validated through hands-on practice using various business problems.

  • icon-videos 1 Video
  • icon-data 1 Coding Case
  • icon-reading 1 Reading
  • icon-quiz 1 Quiz
Introduction to ANN in Python (1)
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    Difficulty: Advanced

    Prior knowledge or professional experience is strongly recommended.

  • Asset 1
    Duration: Approximately 4 hours

Course Overview

  • Neural Networks, inspired by biological neurons, are comprised of artificial neurons, that are capable of recognizing the underlying principle from the set of data in a way similar to the human brain.
  •  Feedforward neural networks are the most basic types of neural networks and through this course, the learner will develop an understanding of each aspect of feedforward neural networks.
  • Learn the most fundamental aspects of neural networks.
  • Gain practical experience by applying the knowledge and coding skills in real-world based business scenarios.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Deep Learning

Perceptron

MLP

Model Building

Model Validation

Neural Network Modeling

Associated Learning Tracks

Syllabus

This module explains the different aspects of Neural Networks and provides detailed Case Study to learn and experiment with Artificial Neural Networks.

How it Works

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