A crash course in neural networks for beginners - deep dive
4.3 (9 ratings)
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A crash course in neural networks for beginners - deep dive

recurrent neural networks ( rnn ) and long short term memory neural networks ( lstm )
4.3 (9 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.
52 students enrolled
Created by Daniel We
Last updated 7/2017
English
Curiosity Sale
Current price: $10 Original price: $100 Discount: 90% off
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Know how recurrent neural networks work and how to code them
  • Know how long short term memory neural networks work and how to code lstm
View Curriculum
Requirements
  • You already should have taken "A crash course in neural networks for beginners" course which is the precursor
  • Basic knowlege of python syntax
  • your personal interest in the topic
Description

What is machine learning / ai ? How to lean machine learning in practice ? What are recurrent neural networks ( rnn ) , what are long short term neural networks ( lstm ) and how do the work?

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

Neural Networks (often referred to as deep learning)  in their differnt forms 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. What kind of neural networks exist ?
  5. 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 two interesting crash courses. The first course " A crash course in neural networks for beginners " already covers the multilayer perceptron and convolutional neural networks. This second course extends the knowledge you have already acquired. Together we explore recurrent neural networks or rnn in depth and implement them in code. In additon to that we also learn to understand long short term memory neural networks or lstm which play a major role in creating chatbots.

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 recurrent neural networks are and how they function
  • beginners who want to understand what long short term memory neural networks are and how they function
  • beginners who have already taken the "A crash course in neural networks for beginners" course
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Curriculum For This Course
10 Lectures
01:19:17
+
Einleitung
10 Lectures 01:19:17

1 A crashcourse in RNN for beginners - understanding rnns
12:05

2 recurrent neural networks rnn in python
16:02

3 recurrent neural networks rnn in python 2
07:51

4 recurrent neural networks rnn in python
04:08

5 A crashcourse in LSTMs for beginners - understanding LSTMs
16:25


7 long short term memory neural networks lstm in python
08:24

8 long short term memory neural networks lstm in python
01:01

9 Logout - you are leaving the m...
00:48
About the Instructor
Daniel We
4.6 Average rating
195 Reviews
4,977 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"