Next gen web apps with TensorFlow.js - Unlock the power of machine learning in web development.

📝 JavaScript has evolved with new browser-level APIs and language features, making it simple for developers to bring creative ideas to life.

🧠 TensorFlow.js is Google's machine learning library for JavaScript, providing a way for developers to use machine learning without having to learn a new language.

🌐 Machine learning with TensorFlow.js opens up new possibilities for web developers and creatives to create next-gen web applications.

📚 JavaScript can be used for coding web applications and has the advantage of easy shareability and scalability.

🧠 The course starts with an explanation of artificial intelligence and machine learning and teaches how to use tensorflow.js for various tasks.

🌍 Using machine learning models, real-world problems like object detection and spam classification can be solved, as demonstrated by a Chrome extension.

:rocket: Machine learning models enable advanced solutions and natural language processing without needing Cloud API.

:gear: Creativity allows integration of models with web technologies, enabling real-time motion capture and driving virtual avatars.

:superhero: Next Generation web apps offer capabilities beyond traditional websites, giving users superpowers.

🤖 Machine learning is fast influencing every major industry and the pace of innovation in this space will continue to rise.

🌐 TensorFlow.js enables developers to use machine learning in any web browser, making it more accessible.

📈 Exponential growth in developers using JavaScript for machine learning, creating a demand for learning more about it.

🔍 Machine learning is being used in various applications in web development and creative fields.

💻 TensorFlow.js enables web developers to create next-generation web applications using machine learning.

📚 The course will provide detailed information on how to utilize TensorFlow.js effectively.