A crash course in neural networks for beginners
- 4.1
-
![]()
![]()
![]()
![]()
Brief Introduction
The beginner's guide to learn neural networks from scratchDescription
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.
Requirements
- Requirements
- Basic knowlege of python syntax is helpful
- your personal interest in the topic
Dan We
4.1 Raiting
Machine Learning: Build neural networks in 77 lines of code
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Machine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code. Machine learning is a lucrative field to develop your career....
Machine Learning: Beginner Reinforcement Learning in Python
- 4.6
-
![]()
![]()
![]()
![]()
![]()
How to teach a neural network to play a game using delayed gratification in 146 lines of Python code This course is designed for beginners to machine learning....
Deep Learning for Beginners in Python: Work On 12+ Projects
- 4.2
-
![]()
![]()
![]()
![]()
![]()
Work On 12+ Projects, Deep Learning Python, TensorFlow 2. 0, Neural Networks, NLP, Data Science, Machine Learning, More ! . ....
Introduction to Genetic Algorithms: Theory and Applications
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Learn the main mechanisms of Genetic Algorithm as a heursitic Artificial Intalligence search or optimization in Matlab This is an introductory course to the Genetic Algorithms....
