Learn how to build pose detection deep learning iPhone app

🤝 Welcome to "Build Real Time Pose Detection Apps with Posenet & CoreML"!

🚀 Course Title: Learn how to build real time pose detection deep learning iPhone app

🧠 Course Description: Dive into the fascinating world of pose detection with our comprehensive course. You'll learn to build real-time pose detection iPhone apps using the Posenet deep learning algorithm, a powerful tool for detecting human poses in videos and images. This course is designed to be hands-on, ensuring you understand the inner workings of pose detection engines, deep learning, particularly Convolutional Neural Networks (CNN), and how Apple's Core ML and Vision SDK can harness this technology directly on your iPhone.

🛠️ Skill Foundation:

• ✅ Understanding Pose Detection Fundamentals
• ✅ Grasping the Basics of Deep Learning and CNN
• ✅ Exploring the Advantages of Using Posenet for Fitness Apps
• ✅ Implementing Real-Life Pose Detection in Video with Posenet, Core ML, and Swift
• ✅ Implementing Real-Life Pose Detection in Images with Posenet, Core ML, and Swift

🌟 A Powerful Skill at Your Fingertips: Mastering the fundamentals of real-time pose detection puts a highly versatile tool at your disposal. With Swift, Posenet, and Core ML, which are all free, easy to learn, and come with excellent documentation, you'll be well-equipped to tackle the challenges in this exciting field.

🔍 Why Learn Pose Detection? The field of computer vision is booming, and the demand for skilled professionals in this area is growing rapidly. With pose detection skills under your belt, you're on track to becoming a sought-after computer vision developer. You'll also discover why YOLO (You Only Look Once) is considered state-of-the-art technology for real-time object detection.

📚 Course Content & Overview: This course will guide you through building a real-time pose detection engine using open-source Posenet, Core ML, and Swift. We'll cover:

• ✅ Real-Time Pose Detection in Video
• ✅ Real-Time Pose Detection in Images
• ✅ Fundamentals of CNN and Posenet

🎓 What You Will Gain:

• ✅ Learn Posenet and build a real-time pose detection engine from scratch.
• ✅ Engage with over 15 lectures tailored to help you master the craft of pose detection.
• ✅ Ideal for intermediate programmers, yet designed for users who learn best through visual demonstration.
• ✅ Breaks down complex applications into simple steps for easier understanding.
• ✅ Challenges throughout the course to reinforce concepts with solutions provided to validate your learning.

👩‍💻 Who is this course for? This course is perfect for:

• Intermediate programmers looking to expand their skill set.
• Individuals who prefer a visual approach to learning.
• Those keen on understanding how to implement complex applications in simplistic terms.
• Anyone interested in the burgeoning field of computer vision and eager to learn about pose detection and its applications.

📆 Take the next step in your career by enrolling today and unlock the potential of real-time pose detection on iOS devices!