Coursera – TensorFlow: Data and Deployment Specialization 2024-11

TensorFlow: Data and Deployment Specialization is a TensorFlow training course for working with data and development. Continue to develop your skills in TensorFlow; In this series of courses, which includes 4 different courses, you will learn how to teach your machine learning models effectively with data. It will start with understanding how to teach and implement machine learning models in browsers and mobile applications. You will learn how to use internal datasets with just a few lines of code. You will learn about pipelines using TensorFlow services and use APIs to control the separation of your data. You will learn how to process all types of unstructured data and retrain developed models using user data.

What you will learn in TensorFlow: Data and Deployment Specialization:

• Run models in your browser using TensorFlow.js
• Prepare and expand your models on mobile devices using TensorFlow Lite
• Accessing, categorizing and processing your training data is easier than ever with TensorFlow Data Services
• Familiarity with 3 advanced development scenarios using TensorFlow Serving, TensorFlow Hub and TensorBoard

Course details:

Publisher: Coursera
Instructor: Laurence Moroney
Language: English
Education Level: Average
Number of Courses: 4
Duration: Assuming 10 Hours a Week, 1 Months

Courses in TensorFlow: Data and Deployment Specialization:

Course prerequisites:

Pictures

Sample film

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English and other languages

Quality: 720

This collection includes 4 different courses.

The 2024/11 version has added 120 text files compared to 2021/6.

download link

Browser-based Models with TensorFlow.js

Download – 437 MB

Device-based Models with TensorFlow Lite

Download – 375 MB

Data Pipelines with TensorFlow Data Services

Download – 340 MB

Advanced Deployment Scenarios with TensorFlow

Download – 241 MB

Size

1.36 GB