Basic Mathematics for Deep Learning
Learn machine learning concepts, artificial intelligence learning principles, and mathematical principles for model implementation to fully utilize deep learning!
This course is prepared for Basic Learners.
What you will learn!
Understanding the concepts of artificial intelligence, machine learning, and deep learning
Basic mathematical understanding of deep learning algorithms
Understanding the learning principles and error correction methods of deep learning
Building a Python virtual environment and using TensorFlow CPU
Deep learning technology, the core of the 4th industrial revolution!
We help you build a solid foundation.
Deep learning... everyone is doing it, but
Are you afraid of me doing it? 😥
Recently, artificial intelligence-related technologies such as deep learning and machine learning are in the spotlight.
This is because it is a core technology that must be known in this era called the 4th Industrial Revolution. It is also knowledge that must be known by those who are just entering the IT industry.
However, most beginners try to learn coding without this background knowledge. This naturally 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.
Anyone can get started with deep learning with Maso Campus!
Difficult coding or expensive programs? NO!
One of the greatest advantages of Python is that it has modules that can be installed for free, and there are already modules developed to implement deep learning, and many people are actually using them.
The fact that many people can use it means that I can also make full use of it. That is why Maso Campus is releasing a lecture that covers the concept and operating principles of deep learning so that anyone can easily get started with deep learning.
To achieve truly revolutionary productivity gains, get started with deep learning !
Deep learning that brings innovation,
I will teach you the basic mathematical knowledge.
Deep learning brings overwhelming productivity improvements regardless of the field!
This is a process to completely grasp the concepts in order to “properly” utilize deep learning.
Understanding Root Mean Square Error (RMSE)
Recommended for these people ✅
- Anyone who wants to achieve innovative productivity with artificial intelligence
- People who want to build a career in the IT industry (starting a business/changing jobs/joining a company)
- Practitioners who are using deep learning but do not know how it works
- Anyone who wants to get started with deep learning from the beginning
You can acquire the following capabilities 👍
- Understanding the concepts of artificial intelligence, machine learning, and deep learning
- Basic mathematical understanding of deep learning algorithms
- Understanding Deep Learning Principles and Error Correction Methods
- Building a Python Virtual Environment, TensorFlow CPU Utilization Capabilities
Unique features of this course!
Thoroughly in 3 steps.
Through this lecture, you will understand the working principles of the hottest deep learning technology today and be able to implement a deep learning model through practice.
Step 1. Understand the concept and operation process of deep learning.
We will delve into what deep learning is, how it differs from machine learning, and why it delivers performance on a whole other level ! Once you know the secrets, you will be able to utilize it more accurately and easily.
Among logs and logarithmic functionsStep 2. Understanding the basic mathematics of deep learning
Hellish problem solving… Brain-bending application problems?
Without going through that process, we will help you simply understand and move on to the parts necessary for practical use of deep learning .
Practicing Multiple Linear RegressionStep 3. Turn insights discovered in the digital world into reality!
What if we perform machine learning using various techniques based on data and apply the obtained insights to actual work? It can bring about revolutionary developments in decision-making in a wide range of areas, including sales, development, and human resources.
Implementing deep learning models with regression and classificationQ&A 💬
Q. Is prior knowledge of Python programming required?
This lecture and subsequent deep learning lectures at Maso Campus require basic Python skills.
For those who are not familiar 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 lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture screen and the hands-on screen. Also, since the hands-on training will be conducted based on Windows OS, we recommend taking the lecture 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?
Although it is recommended to run it in a high-spec environment, this lecture will be conducted in a virtual environment using Anaconda and Jupyter Notebook. Therefore, if you have a general business PC, you will have no difficulty taking the course.
📢 Please check before taking the class!
- As this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or an extra device that can separate the lecture video and practice windows.
- Since the practical training will be conducted on Windows, we recommend taking the course in a Windows environment.
- Lecture notes and practice files can be downloaded from the section "Textbook Download Center."
Recommended for
these people!
Who is this course right for?
Practitioners who want to secure innovative productivity with artificial intelligence
Anyone who wants to build a career in the IT industry, such as starting a business, changing jobs, or joining a company
Practitioners who are already using deep learning but do not know how it works
Anyone who wants to get off to a good start building their deep learning capabilities
Need to know before starting?
This course requires basic Python skills.
I recommend that you take Maso Campus' [Introduction to Python] and [Python Practice] courses first.
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33 lectures ∙ (2hr 59min)
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