Deep learning technology, the core of the 4th Industrial Revolution!
We help you build a solid foundation.
Recently, artificial intelligence-related technologies such as deep learning and machine learning are in the spotlight.
This is because, in this era of what's called the Fourth Industrial Revolution, it's a core technology you absolutely must know. It's also essential knowledge for anyone just entering the IT industry.
However, most beginners try to learn coding without this background knowledge. This inevitably leads to limitations.
That's why Maso Campus is ready!
Anyone can easily learn with [Basic Mathematics for Deep Learning], which is structured so that you can learn step by step from the basic theory.
Difficult coding or expensive programs? NO!
One of Python's greatest strengths is its free, installable modules. Modules for implementing deep learning have already been developed, and many people are already utilizing them.
The fact that it's accessible to many means I can also fully utilize it. That's why Maso Campus is offering lectures covering the concepts and operating principles of deep learning, making it easy for anyone to get started.
To achieve truly revolutionary productivity gains, try deep learning !
Deep learning brings about overwhelming productivity improvements regardless of the field!
This is a process of completely understanding the concepts in order to “properly” utilize deep learning.
Understanding Root Mean Square Error (RMSE)
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You can acquire the following capabilities 👍
Through this lecture, you will understand the operating principles of the hottest deep learning technology today and be able to implement a deep learning model through practice.
Step 1. Understanding the concept and operating process of deep learning.
We'll delve into what deep learning is, how it differs from machine learning, and why it delivers unparalleled performance ! Once you understand the secrets, utilizing it will become more accurate and easier.
Logs and logarithmic functions Step 2. Understanding the Basic Mathematics of Deep Learning
Hellish problem solving… Brain-bending application problems?
Without going through that process, we help you simply understand and move on to the parts necessary for practical use of deep learning .
Practicing Multiple Linear Regression Step 3. Bring insights discovered in the digital world to life!
What if we could apply various machine learning techniques based on data and apply the resulting insights to actual work? This could revolutionize decision-making across a wide range of areas, from sales and development to human resources.
Implementing Deep Learning Models with Regression and Classification Q. Is prior knowledge of Python programming required?
This course and subsequent deep learning courses at Maso Campus require basic Python skills.
For those unfamiliar with Python, we recommend taking Maso Campus' 'Introduction to Python Data Analysis' and 'Practical Python Data Analysis' courses first.
Q. Are there any requirements or conditions for taking the course?
Since this is a hands-on course, we recommend bringing a dual monitor or a spare device to separate the lecture and practice screens. Furthermore, since the practical training will be conducted on a Windows OS, we recommend taking the course in a Windows environment.
Q. I heard that deep learning requires a high-spec PC. Do I need a high-spec PC for practical training?
While it's recommended to run the course in a high-spec environment, this course will be conducted in a virtual environment utilizing Anaconda and Jupyter Notebook. Therefore, anyone with a standard work PC will be able to complete the course without difficulty.
📢 Please check before taking the class!
I think it would be good for beginners to understand the concept.
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