ChatGPT Latest Model Prompt Engineering Bible
Masocampus
Apply the latest trends of Generative AI directly to your work! The bible of Prompt Engineering lectures, packed with essentials
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AI, ChatGPT, prompt engineering
Basic Mathematics for Deep Learning
Understand machine learning concepts, AI learning principles, and mathematical principles for model implementation to fully utilize deep learning!
What you will learn!
Understanding Artificial Intelligence, Machine Learning, Deep Learning Concepts
Mathematical Basics of Deep Learning Algorithms
Understanding Deep Learning's Learning Principles and Error Correction Methods
Python Virtual Environment Setup and TensorFlow CPU Utilization Capability
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, 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.
Anyone can get started with deep learning with Maso Campus!
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 that brings innovation,
I will teach you the basic mathematical knowledge.
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)
Recommended for these people ✅
- Anyone who wants to achieve innovative productivity through artificial intelligence
- Those 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 start deep learning properly 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 and leveraging TensorFlow's CPU capabilities
Unique features of this course!
Thoroughly in 3 steps.
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&A 💬
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!
- As this is a practice-oriented lecture, it would be helpful to prepare a dual monitor or extra device that can separate the lecture video and practice window.
- Since the training is conducted on a Windows-based basis, we recommend taking the course in a Windows environment.
- Lecture notes and practice files can be downloaded from the "Textbook Download Center" section.
Recommended for
these people
Who is this course right for?
Practitioners wanting innovative productivity with AI
All those wanting to build an IT career (startup, job change, employment, etc.)
Practitioner already using deep learning, unaware of its principles
Everyone who wants to properly build deep learning skills from the ground up.
Need to know before starting?
This course requires basic Python skills.
We recommend taking 마소캠퍼스's [Python Introduction], [Python Practical] courses first.
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Curriculum
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33 lectures ∙ (2hr 59min)
Course Materials:
Lecture resources
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5 reviews
4.8
5 reviews
kyungeunkim7124Reviews 1
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Average Rating 5.0
- gyungwonkim8173
Reviews 2
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Average Rating 5.0
- yueuikim8181
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Average Rating 4.0
4
100% enrolled- masocampusInstructor
Thank you for leaving a review! 😊 We at Maso Campus will always do our best!
- kanguncho4611
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Average Rating 5.0
5
30% enrolled- masocampusInstructor
Thank you for leaving a review😊 It feels like the hard work paid off. Maso Campus will always do its best!
- swine7776874
Reviews 5
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Average Rating 4.2
5
100% enrolledI think it would be good for beginners to understand the concept.
- masocampusInstructor
I'm so glad you enjoyed the lecture! Thank you. 😊
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