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A crash course in neural networks for beginners

The beginner's guide to learn neural networks from scratch
3.8
3.8/5
(48 reviews)
427 students
Created by

8.4

Classbaze Grade®

8.1

Freshness

7.3

Popularity

9.1

Material

The beginner's guide to learn neural networks from scratch
Platform: Udemy
Video: 2h 52m
Language: English
Next start: On Demand

Best Neural Networks classes:

Classbaze Rating

Classbaze Grade®

8.4 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

8.1 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.3 / 10
We analyzed factors such as the rating (3.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 8.0 / 10
The course includes 2h 52m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 11 minutes of 40 Neural Networks courses on Udemy.
Detail Score: 9.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

3 articles.
0 resource.
0 exercise.
0 test.

In this page

About the course

What is machine learning / ai ? How to learn machine learning in practice?
machine learning / ai (artificial intelligence) is the hottest topic in this century – for good reasons. 

“From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!”

Neural Networks (often referred to as deep learning)  are particular interesting. But there are a few questions.
•What are neural networks? 
•How do they work? 
•What is deep learning ?
•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

Addon Updates:
If you want to dive deeper into Neural Nets and learn to understand and program more than check out my additional courses which cover additional content which will give you additional knowledge. 
•A beginners guide for building neural networks in tensorflow 
•neural networks transfer learning and sentiment prediction 
•How neural networks work – a glimpse into math for beginners
•A crash course in neural networks for beginners
•A crash course in neural networks for beginners – deep dive 
•machine learning and neural networks mini case studies
•neural networks for beginners from scatch 
•machine learning with text for beginners
You can easily find them by checking out my instructor profile.

What can you learn from this course?

✓ 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
✓ You might open up new career opportunities for you which are not only highly rewarding but also offer more job satisfaction

What you need to start the course?

• Basic knowlege of python syntax is helpfulyour personal interest in the topic

Who is this course is made for?

• 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
• You want to take advantage of the data driven opportunity ahead

Are there coupons or discounts for A crash course in neural networks for beginners ? What is the current price?

The course costs $12.99. And currently there is a 86% discount on the original price of the course, which was $94.99. So you save $82 if you enroll the course now.
The average price is $14.4 of 40 Neural Networks courses. So this course is 10% cheaper than the average Neural Networks course on Udemy.

Will I be refunded if I'm not satisfied with the A crash course in neural networks for beginners course?

YES, A crash course in neural networks for beginners has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the A crash course in neural networks for beginners course, but there is a $82 discount from the original price ($94.99). So the current price is just $12.99.

Who will teach this course? Can I trust Dan We?

Dan We has created 48 courses that got 9,050 reviews which are generally positive. Dan We has taught 45,631 students and received a 4.4 average review out of 9,050 reviews. Depending on the information available, we think that Dan We is an instructor that you can trust.
BI Expert, Trainer, Datalover
Dan is a 31 year old entrepreneur ,data scientist  and data analytics / visual analytics consultant. He holds a master degree and is certified in Power BI as well as a Qualified Associate in Tableau software. He is currently working in Business Intelligence field and helps major companies to get key insights from their data to deliver long term growth and outpace their competitors.He is committed to support other people by offering them educational services to help them accomplishing their goals and becoming the best in their profession or explore a new career path.”Helping others is the greatest joy””In order to do the impossible you need to see the invisible””If you don’t like where you are then change. Life is too short!” You can do it!
Browse all courses by on Classbaze.

8.4

Classbaze Grade®

8.1

Freshness

7.3

Popularity

9.1

Material

Platform: Udemy
Video: 2h 52m
Language: English
Next start: On Demand

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