Home AI Courses Google AI for JavaScript developers with TensorFlow.js

Google AI for JavaScript developers with TensorFlow.js

(0 reviews)

Provides a hands-on approach to implementing machine learning with JavaScript and TensorFlow.js for a variety of applications.

Key AI Functions:html,artificial intelligence,deep learning,javascript,css,server-side,web applications,internet of things,machine learning,web engineering,basic math,ai & machine learning

Description

Reviews

Alternative Tools

Description for Google AI for JavaScript developers with TensorFlow.js

Machine Learning Fundamentals and TensorFlow.js Overview: Discover common machine learning terms, the benefits of using JavaScript for machine learning, and become acquainted with TensorFlow.JS.
Building and Using Machine Learning Models: Learn how to build simple custom models, use pre-made models, and apply transfer learning to adapt existing models to new data.
Working with Neural Networks and Tensors: Learn about perceptrons, linear regression, multi-layered perceptrons, and convolutional neural networks, as well as how to use tensors in model implementation.
Practical Applications and Model Conversion: Learn how to convert Python-based models to JavaScript and explore real-world projects to inspire future ideas.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On edX provided by Google

Duration: 3�4 hours per week approx 7 weeks

Schedule: Flexible

Reviews for Google AI for JavaScript developers with TensorFlow.js

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Gen AI Assisting Data Analysts

Google Cloud Certification: ML Engineer

TensorFlow: Data and Deployment Specialization

Alternative Tools for Google AI for JavaScript developers with TensorFlow.js

Featured Tools

Gen AI Assisting Data Analysts

Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.

#Artificial Intelligence (AI) #Data Analysis

Become proficient in the utilization of Spring AI to facilitate the integration of sophisticated AI models into Java-based applications, with an emphasis on generative capabilities and prompt engineering.

#artificial intelligence #software engineering

Google Cloud Certification: ML Engineer

Gain the skills needed for a machine learning engineering role and prepare for the Google Cloud Professional Machine Learning Engineer certification exam by learning to design, build, and productize ML models using Google Cloud technologies.

#Tensorflow #Bigquery

TensorFlow: Data and Deployment Specialization

Utilize TensorFlow.js for browser-based model execution, TensorFlow Lite for mobile deployment, TensorFlow Data Services for optimized data management, and TensorFlow Hub, Serving, and TensorBoard for advanced deployment scenarios.

#Tensorflow #Object Detection

ML With Big Data

This course teaches how to analyze, leverage, and investigate data using machine learning methodologies, providing tools and algorithms to develop and scale models for big data challenges.

#Machine Learning Concepts #Knime

Compare & Review AI Tool Directory AI Course Marketplace