Course

Advanced Deployment Scenarios with TensorFlow

DeepLearning.AI

Bringing a machine learning model into the real world involves more than just modeling. This Specialization teaches you to navigate various deployment scenarios, use data effectively, and train your model. Covering TensorFlow Serving, TensorFlow Hub, TensorBoard, and federated learning, you'll gain practical insights into deploying models.

  • Learn to use TensorFlow Serving for web inference
  • Explore TensorFlow Hub for transfer learning
  • Evaluate model performance and share metadata using TensorBoard
  • Understand federated learning and retrain models while maintaining data privacy

Certificate Available ✔

Get Started / More Info
Advanced Deployment Scenarios with TensorFlow
Course Modules

This course delves into TensorFlow Extended, sharing pre-trained models with TensorFlow Hub, tools for model training using TensorBoard, and federated learning, providing comprehensive insights into deploying machine learning models.

TensorFlow Extended

TensorFlow Extended module introduces you to TensorFlow Serving and guides you through the installation and setup processes. You'll learn to make predictions over the web and work with complex models. Gain hands-on experience through assignments and quizzes to reinforce your learning.

Sharing pre-trained models with TensorFlow Hub

The Sharing pre-trained models with TensorFlow Hub module covers transfer learning, inference, and experimenting with embeddings. You'll explore classifying images and working with pre-trained word embeddings, gaining practical skills through assignments and quizzes.

Tensorboard: tools for model training

The Tensorboard: tools for model training module delves into TensorBoard scalars, histograms, and publishing model details. You'll learn to use local TensorBoard, analyze datasets, and create confusion matrices. The module includes exercises and assignments to enhance your understanding.

Federated Learning

The Federated Learning module explores training on mobile devices, maintaining user privacy, and APIs for federated learning. You'll gain insights into data at the edge and examples of federated learning. Engage in quizzes and activities to solidify your knowledge.

More Software Development Courses

Computational Thinking with JavaScript

University of Glasgow

Explore the principles and practice of problem-solving with software technology using JavaScript. Develop self-directed learning skills to tackle new problem domains...

Developing Back-End Apps with Node.js and Express

IBM

Developing Back-End Apps with Node.js and Express equips learners with essential skills in server-side JavaScript using Node.js and Express. Gain hands-on experience...

Learn Cypress UI test automation with real-time scenarios

Coursera Project Network

Learn Cypress UI test automation with real-time scenarios. Master Cypress and automate UI and API testing. Ideal for beginners.

UiPath Orchestrator and Capstone Projects

UiPath

UiPath Orchestrator and Capstone Projects course provides comprehensive knowledge of Orchestrator and its capabilities, along with hands-on capstone projects to...