machine learning for beginners - neural networks (Udemy.com)
Create you first neural networks in python - a hands on guide for beginners
Created by: Dan We
Produced in 2021
What you will learn
- being able to create your own neural networks in python
- train and evalute your neural network
- make predictions with your model
- being able to leverage scikit learn in combination with keras
- create convolutional neural networks for image recognition
Quality Score
Overall Score : 88 / 100
Course Description
machine learning / ai (artificial intelligence) and neural networks (often referred to as deep learning) are one of the hottest topics in this century - for good reasons.
There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?
Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. Also matrix operations in tensorflow are not considered easy peasy. None the less you do not need to be a math expert to apply machine learning. This is my third course to show you why.
Instead of telling you all the statistics and math behind the neural network and deep learning i prefer to give you a much more hands on approach. At the end of the day there's only one thing that really counts - THE RESULT. I believe in a practical approach. That's why the course is developed to encourage you to follow along and write the code yourself. At the end you can see your result.
By joining this course you can leverage the knowledge you acquired from my first two courses (Machine Learning for Beginners and machine learning for beginners - deep dive) and get the chance to dive into theworld of neural networks. Again this course is not for students who like to learn theory. Those should rather turn to a university professor or wikipedia.
But if you want to actually practise machine learning and neural networks with python and tensorflow and learn how to write and improve your own algorithms then this beginner's course is the right way to continue your learning journey!
I wish you all the best, enjoy the course, get your hands dirty and start coding! Let's master neural networks from scratch
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
- aspiring personalities who want to enter one of the most hottest topics on this planet with huge future potential
- beginners in machine learning
- people who like a hands-on approach and not only watching
- people who prefer practice instead of theory
- You want to take advantage of the data driven opportunity ahead
Instructor Details
- 4.4 Rating
11 Reviews
Dan We
Dan is a 30 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 becomming 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!
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