Pengolahan Citra/ Computer Vision Deep Learning Pytorch

🎓 Belajar Pengolahan Citra/ Computer Vision Deep Learning dari Dasar dengan Menggunakan Pytorch 🖥️ GroupLayout: Comprehensive, Step-by-Step Guide for Beginners with Continuous Advanced Content

Kursus Introduction:

Embark on a journey to master the art of Computer Vision and Image Processing using Python and PyTorch. This course is designed to introduce you to the fundamentals of image processing, deep learning in computer vision, and how to implement them with ease using PyTorch – one of the leading machine learning libraries.

What You'll Learn:

• 📸 Basics of Image Processing: Start with the foundational concepts such as image rotation, shifting, flipping, and understanding color spaces. These are essential skills for manipulating images before feeding them into a deep learning model.

• 🧮 Color Spaces & Mathematical Foundations: Before diving into Python code, you'll learn about the mathematics behind color spaces and how to perform manual calculations to understand the underlying principles.

• 🤖 Neural Networks (NN) & Deep Learning: Understand the workings of a Neural Network from forward pass to backward pass, which are critical components for any deep learning model. You'll also learn how to implement these concepts using PyTorch.

• 🎨 Convolutional Neural Networks (CNN): Discover how Convolutional Neural Networks can learn from data and create intelligent systems. This course will guide you through applying CNN in Python with PyTorch, complete with practical examples that show real-world applications of your newfound skills.

Course Breakdown:

1. Introduction to Image Processing: Learn the basics of manipulating images, including resizing, cropping, and converting between color spaces.

2. Deep Dive into Color Spaces: Explore different color models such as RGB, HSV, YUV, and more, understanding how they affect image processing.

3. Mathematical Foundations of Image Processing: Engage with the mathematical concepts that underpin image processing and color manipulation.

4. **Forward Pass & Backward Pass in Neural Networks: Gain a solid grasp of the core mechanisms of Neural Networks through theoretical explanations and practical examples.

5. Implementing Neural Networks with PyTorch: Learn how to build and train your own Neural Network models from scratch using PyTorch.

6. Deep Learning in Image Processing: Understand the role of deep learning techniques, particularly CNN, in image processing tasks.

7. Advanced Topics in Computer Vision: As the course progresses, tackle more advanced topics such as feature extraction, object detection, and facial recognition with CNNs.

Why Take This Course?

• 🚀 Hands-On Learning: Get practical experience by working on real-world problems and projects in image processing and computer vision.

• 🤝 Community & Support: Join a community of learners and get support from the instructor throughout your learning journey.

• 📈 Skill Development: Enhance your resume with in-demand skills in Python, PyTorch, and computer vision, opening doors to new career opportunities.

Enroll now and start your adventure in mastering Pengolahan Citra/ Computer Vision Deep Learning with Pytorch! 🌟