Coursera – TensorFlow: Data and Deployment Specialization [AGT]
What you’ll examine
• Run fashions in your browser using TensorFlow.js
• Prepare and deploy fashions on mobile models using TensorFlow Lite
• Access, handle, and course of teaching information further merely using TensorFlow Data Services
• Explore 4 superior deployment conditions using TensorFlow Serving, TensorFlow Hub, and TensorBoard
Skills you’ll obtain
• Tensorflow
• Object Detection
• Machine Learning
• JavaScript
• Advanced deployment
Specialization – 4 course assortment
Continue creating your skills in TensorFlow as you examine to navigate by way of quite a lot of deployment conditions and uncover new strategies to make use of data further efficiently when teaching your machine learning fashions.
In this four-course Specialization, you’ll be taught to get your machine learning fashions into the palms of precise people on each type of models. Start by understanding straightforward strategies to arrange and run machine learning fashions in browsers and in mobile features. Learn straightforward strategies to leverage built-in datasets with just a few traces of code, examine information pipelines with TensorFlow information suppliers, use APIs to manage information splitting, course of all kinds of unstructured information, and retrain deployed fashions with shopper information whereas sustaining information privateness. Apply your knowledge in different deployment conditions and get launched to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and further.
Industries all world vast are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you to develop and deploy machine learning fashions all through any system or platform sooner and further exactly than ever.
1. Browser-based Models with TensorFlow.js
2. Device-based Models with TensorFlow Lite
3. Data Pipelines with TensorFlow Data Services
4. Advanced Deployment Scenarios with TensorFlow
4 Courses, Total, 752 Files, 110 Folders
Applied Learning Project
In the TensorFlow: Data and Deployment Specialization, you will examine to make use of your knowledge in different deployment conditions and get launched to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and further, implementing initiatives it’s possible you’ll add to your portfolio and current in interviews.
Instructor(s)
Laurence Moroney, leads AI Advocacy at Google, with a imaginative and prescient to make AI easy for builders and to widen entry to ML careers for everyone. He’s written dozens of programming books, the latest being ‘AI and ML for Coders’ at O’Reilly. Laurence believes that MOOCs are one among many largest strategies to review, and is labored as much as create TensorFlow Specializations with DeepLearning.AI on Coursera. When not working with experience, he’s an energetic member of the Science Fiction Writers of America, and has authored a variety of sci-fi novels, and comics books, and a produced screenplay. Laurence depends in Washington state, the place he drinks method an extreme quantity of espresso.
Offered By DeepLearning.AI
Media Information:
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.100 KHz, 2 Ch
Genre: eLearning | Language: English + SRT | Updated: 3/2024 | Duration: 208 Lessons ( 7h 56m 15s )
Source: https://www.coursera.org/specializations/tensorflow-data-and-deployment
Size: 1.35GB
