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Browser-based Models with TensorFlow.js
Coursera
Course
Unknown

Browser-based Models with TensorFlow.js

DeepLearning.AI

Learn to train and run machine learning models in the browser using TensorFlow.js, culminating in a computer vision project with webcam object recognition.

Unknown4 weeksEnglish

About this Course

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This

What You'll Learn

  • Train and run models in browser
  • Handle data within browser
  • Build webcam-based object recognition model

Prerequisites

  • Basic knowledge of machine learning and JavaScript programming

Instructors

L

Laurence Moroney

Topics

Convolutional Neural Networks
Machine Learning
Computer Vision
Data Processing
Tensorflow
JSON
Web Applications
Applied Machine Learning
Transfer Learning
Javascript

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الشبكات العصبية التلافيفية
تعلم الآلة
الرؤية الحاسوبية
معالجة البيانات
TensorFlow
JSON
تطبيقات الويب
التعلم المطبق
Transfer Learning
Javascript

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