How to Build Neural Networks in Python

How to Build Neural Networks in Python, available at $44.99, has an average rating of 4.3, with 15 lectures, 1 quizzes, based on 15 reviews, and has 1113 subscribers.

You will learn about 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 This course is ideal for individuals who are Whoever wants to learn to build neural network using Python It is particularly useful for Whoever wants to learn to build neural network using Python.

Enroll now: How to Build Neural Networks in Python

Summary

Title: How to Build Neural Networks in Python

Price: $44.99

Average Rating: 4.3

Number of Lectures: 15

Number of Quizzes: 1

Number of Published Lectures: 15

Number of Published Quizzes: 1

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: €19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Whoever wants to learn to build neural network using Python

Target Audiences

Whoever wants to learn to build neural network using Python

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 Curriculum

Chapter 1: What is Neural Network

Lecture 1: Definition of Neural Network – AI VS. ML VS. DL

Chapter 2: Origin & Development of Neural Network

Lecture 1: The History and Evaluation of Neural Network

Chapter 3: How Neural Network Works

Lecture 1: Working Principle of a Neural Network

Chapter 4: Setting up the Working Environment

Lecture 1: Creating the Work Environment

Lecture 2: Why using Google Colab

Chapter 5: How to Build a Neural Network

Lecture 1: Introduction

Lecture 2: Dataset Description

Lecture 3: Importing the Libraries & Dataset

Lecture 4: Exploring the Dataset

Lecture 5: Data Processing and Visualization

Lecture 6: Building the Neural Network

Lecture 7: Training the Neural Network

Lecture 8: Showing the Prediction Graphically

Lecture 9: Showing Multiple Outputs

Lecture 10: Saving and Loading the Network

Chapter 6: Final test

Instructors

Socrates Knowledge Academy
I know I don't know
Alessandro Piergentili
Asset manager & Trainer
Nuruzzaman Faruqui
Machine Learning Expert

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 3 votes
4 stars: 4 votes
5 stars: 8 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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