A crash course in neural networks for beginners
4.8 (11 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
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A crash course in neural networks for beginners

The beginner's guide to learn neural networks from scratch
Bestselling
4.8 (11 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
106 students enrolled
Created by Daniel We
Last updated 7/2017
English
Current price: $10 Original price: $100 Discount: 90% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • You will understand the structure of multilayer perceptrons
  • You know the difference between a multilayer perceptron and a convolutional neural network
  • You will be able to program your own neural network in python
  • You know what tensorflow is and how to apply it
View Curriculum
Requirements
  • Basic knowlege of python syntax is helpful
  • your personal interest in the topic
Description

What is machine learning / ai ? How to lean machine learning in practice?

machine learning / ai (artificial intelligence) is the hottest topic in this century - for good reasons. 


Neural Networks (often referred to as deep learning)  are particular interesting. But there are a few questions.

  1. What are neural networks? 
  2. How do they work? 
  3. What is deep learning ?
  4. And how can we implement them in code, e.g how to create your own neural network?

To answer these questions and give beginners a guide to really understand them, I created this interesting course. Together we explore Neural Networks in depth and learn to really understand what a multilayer perceptron is. In additon to that we also learn to understand convolutional neural networks which play a major part in autonomous driving.

Normally there is a lot of math involved which might discourage beginners. I agree that statistics, calculus and linear algebra are not everyone's favourite topics.

That's why this crash course in neural networks emphasizes the real understanding of how a neural network works without overloading you with math. Nonetheless math is involved of course because it's necessary to understand the process. But there is no need to be a math expert I promise!


Do you want to take your chance and expose yourself to this interesting topic which will change the world forever? Then join me and other students to dive deeper into neural networks right now. What are you waiting for?

See you in the first lecture


Who is the target audience?
  • beginners who want to understand what neural networks are and how they function
  • beginners who want to expose themself to programming their first neural network
  • beginners who want to learn about tensorflow
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Curriculum For This Course
15 Lectures
02:23:54
+
A crash course in neural networks for beginners
15 Lectures 02:23:54

2 Crash course - what is a neural network and how does a neural network work
19:39


4 Programming a neural network in tensorflow
17:45

5 Programming a neural network - multilayer perceptron in tensorflow 2
12:56

6 Programming a neural network - multilayer perceptron in tensorflow 3
15:43


8 Introducing keras - a convient way to code neural networks
15:41

9 Introducing keras - a convient way to code neural networks 2
14:08

10 Introducing keras - a convient way to code neural networks 3
03:21

11 Crash course - what is a convolutional neural network and how does a cnn work
08:24

12 Creating a convolutional neural network from scratch
11:34

13 Creating a convolutional neural network from scratch 2
11:11

14 Creating a convolutional neural network from scratch 3
02:04

15 You left the matrix for now but don't forget to log in again
00:43
About the Instructor
Daniel We
4.6 Average rating
195 Reviews
4,961 Students
19 Courses
Traveller

Daniel is a 28 year old entrepreneur ,data scientist and web analyst consultant. He holds a master degree as well as other major certificates from Google and others.

He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession.

"In order to do the impossible you need to see the invisible"