Udemy

How to Build Neural Networks in Python

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  • 1,115 Students
  • Updated 10/2022
4.4
(17 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 36 Minute(s)
Language
English
Taught by
Socrates Knowledge Academy, Alessandro Piergentili, Nuruzzaman Faruqui
Rating
4.4
(17 Ratings)
1 views

Course Overview

How to Build Neural Networks in Python

The best course to learn to build and train a Deep Neural Network (DNN) using TensorFlow & Python in 90 minutes

This course has been specially designed with months of research to help learners to understand how to build and train a deep neural network without any prior knowledge.  There are many learners who don't have 8 to 9 hours of time to spend in front of the monitor learning the basics. Sometimes, we need to learn things as quickly as possible. And this is exactly what this course offers.


This course has been prepared to keep in mind that it should train the students to be 100% confident to build a neural network using TensorFlow in Python. The course starts with a comprehensive definition of Neural networks. Then it walks the learners through the origin and development of Neural networks. After that, it covers the basic working principle of a neural network. In the next lesson, this course guides the students to set up their working environment. Finally, in the last lesson, this course covers everything a student needs to learn to build and train a neural network with confidence.


The course follows the following structure:

1. Definition of Neural Network

2. Origin and Development of Neural Network

3. How Neural Network Works

4. Setting up the Working Environment

5. Building the Neural Network


These five lessons will make anyone comfortable to build and train neural networks using TensorFlow in Python.

Course Content

  • 6 section(s)
  • 15 lecture(s)
  • Section 1 What is Neural Network
  • Section 2 Origin & Development of Neural Network
  • Section 3 How Neural Network Works
  • Section 4 Setting up the Working Environment
  • Section 5 How to Build a Neural Network
  • Section 6 Final test

What You’ll Learn

  • The students will learn how a neural network works
  • They will also understand how the code machine learning algorithm in Google Colab
  • The students will be able to build and train deep neural network using TensforFlow in Python
  • The learners will be able to evaluate the performance of the network graphically

Skills covered in this course


Reviews

  • A
    Azman Hossain
    5.0

    Awesome Instructor. Great learning

  • M
    Mohammad Abdul Bashir
    5.0

    Excellent work

  • Y
    Yudha pratama
    5.0

    Very good, the explanation are clear and straight to the point, and it's a with a hands on example.

  • S
    Sahbaj Sarder
    5.0

    That's an amazing course to learn from and the course instructor is so good and explains cleanly . This course has to be one of the best course I have purchased online . Thank you Udemy to provide this kinda courses and thank you to the instructor for making this course so fun and interactive .

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