What you will learn from this course
- Run models in your browser using TensorFlow.js
- Prepare and deploy models on mobile devices using TensorFlow Lite
- Access, organize, and process training data more easily using TensorFlow Data Services
- Explore four advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, and TensorBoard
- How to navigate various deployment scenarios and use data more effectively to train your model
- Run machine learning models in any browser using TensorFlow.js
- Learn techniques for handling data in the browser
- How to navigate various deployment scenarios and use data more effectively to train your model.
- How to run your machine learning models in mobile applications
- How to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms
- How to deploy on embedded systems using TensorFlow on Raspberry Pi and microcontrollers
- Perform streamlined ETL tasks using TensorFlow Data Services
- Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset
- Optimize data pipelines that become a bottleneck in the training process
- Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers
- How to navigate various deployment scenarios and use data more effectively to train your model
In the TensorFlow: Data and Deployment Specialization, you will learn to apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more, implementing projects you can add to your portfolio and show in interviews.
How to Enroll TensorFlow: Data and Deployment Specialization course?
How many members can access this course with a coupon?
TensorFlow: Data and Deployment Specialization Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
