Enroll Course: https://www.udemy.com/course/maso-ds-python-onc75/
“Grow more than yesterday. And help those who want to grow more than yesterday.” This is the sincere promise and hope of Maso Campus, with accumulated learning hours of 100 million since 2013! This precious experience and time are always the source of growth for both Maso Campus and its students.
Have you ever wanted to build your own image classification model using the Deep Learning CNN algorithm? Remember the Go match between AlphaGo and Lee Sedol? It showed the world how much artificial intelligence (AI) technology has advanced. Many media outlets rushed to publish AI-related articles, and machine learning/deep learning also gained significant attention. At that time, it created a huge craze in Korea. Related books became bestsellers in bookstores, and people flocked to academies to learn languages like Python or TensorFlow.
However, as time passed, the fervor gradually began to subside. Everyone said they were learning, but in reality, there was no one around you who was actually learning deep learning. What could be the problem? It’s probably because it’s too difficult. Even with simple words, they are technical terms that are not easily grasped. That’s why we, Maso Campus, will help you delve into deep learning by exploring CNN, one of the essential parts of deep learning, and undertaking an image classification project.
In this course, we will cover the entire process from the concept of CNN to its actual implementation, making it easy for anyone to learn deep learning. So, feel free to follow along without any pressure. Through this course, you will create an image classification project using CNN, an important core model in deep learning for image recognition AI models. Based on this, you can easily distinguish various image files that are difficult to differentiate due to their similar appearances, such as dogs and cats found online, using the deep learning CNN algorithm.
For those of you who want to classify dog and cat photos, we highly recommend this course that utilizes CNN, a core deep learning algorithm! After taking this course, you will gain the following capabilities:
* Understanding the Deep Learning development process
* Understanding CNN components and model principles
* Understanding OpenCV for enhancing CNN model performance
* Deep learning utilization skills through CNN model practice
Deep learning brings overwhelming productivity improvements regardless of the field! This is a course where you will practice building an image classification project using CNN, one of the core deep learning models, from start to finish.
**Instructor Introduction:**
**Kim Jin-sook**
* Current Senior Professor at Maso Campus
* Master’s Degree in Computer Systems Engineering
Professor Kim Jin-sook is a senior professor in the Big Data field at Maso Campus. She passionately lectures on various cutting-edge IT technologies such as Big Data (R, Python), HTML5/CSS3, JQueryMobile, Scratch, App Inventor, and IoT to students from diverse companies and institutions. Professor Kim is an expert with extensive project guidance experience, including smart farm IoT projects and car-sharing app projects.
Enroll Course: https://www.udemy.com/course/maso-ds-python-onc75/