I’m interested in learning TensorFlow.js to develop real-time AI/ML projects. My goal is to understand:
Model Creation: How to create and train machine learning models from scratch using TensorFlow.js.
Pre-trained Models: How to leverage pre-trained models, integrate them into my applications, and utilize them effectively in real-time scenarios.
Real-Time Applications: Best practices for deploying TensorFlow.js models in real-time environments, including handling live data and performance considerations.
I am looking for comprehensive resources such as free courses, tutorials, or official documentation that cover these aspects. Specifically, I’m interested in learning how to:
Build models for tasks like image classification, object detection, or text analysis.
Apply pre-trained models to new data or tasks.
Implement and optimize models for performance in real-time applications.
Any recommendations on resources, tutorials, or best practices would be greatly appreciated. If you have personal experiences or projects that involve TensorFlow.js, I’d love to hear about them too.
Thank you!