Description
TensorFlow: Data and Deployment Specialization is a TensorFlow training course for working with data and development. Keep building your skills in TensorFlow; In this series of courses, which includes 4 different courses, you will learn how to effectively teach your machine learning models with data. It will start with understanding how to teach and implement machine learning models in browsers and mobile apps. 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 how to recycle models developed using user data.
What you will learn in TensorFlow: Data and Deployment specialization:
- Run models in your browser using TensorFlow.js
- Prepare and develop 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
French language
Level of education: Average
Number of Courses: 4
Duration: Assuming 3 hours per week, 4 months
Course on TensorFlow: data and deployment specialization:
COURSE 1
Browser-based models with TensorFlow.js
COURSE 2
Device-Based Models with TensorFlow Lite
COURSE 3
Data pipelines with TensorFlow Data Services
COURSE 4
Advanced Deployment Scenarios with TensorFlow
Course prerequisites:
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Subtitle: English and other languages
Quality: 720
This collection includes 4 different courses.
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File password(s): ngaur.com
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1.2 GB