External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Running Distributed TensorFlow using Vertex AI

Coursera · Intermediate ·👁️ Computer Vision ·5mo ago

Skills: ML Pipelines90%CV Basics70%

Key Takeaways

Runs distributed TensorFlow using Vertex AI for image classification

Original Description

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.

☆ Save to playlist Watch on External: Coursera ↗

AI explanation not available for this lesson yet

This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.

Browse explainer-ready lessons →

More on: ML Pipelines

View skill →

Building a Dog Breed Identifier App from scratch - DogNet

Building a Dog Breed Identifier App from scratch - DogNet

Aladdin Persson

Complete Dockers For Data Science Tutorial In One Shot

Complete Dockers For Data Science Tutorial In One Shot

Vertex Pipelines: Qwik Start

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Machine Learning Pipelines with Azure ML Studio

Machine Learning Pipelines with Azure ML Studio

NSUS Group Enhances Financial Fraud Prevention System with Amazon SageMaker | Amazon Web Services

NSUS Group Enhances Financial Fraud Prevention System with Amazon SageMaker | Amazon Web Services

Amazon Web Services

Related Reads

Beyond Human Vision: When Computers Begin to See What Our Eyes Cannot !

Learn how computer vision is advancing beyond human visual perception capabilities

Beyond Human Vision: When Computers Begin to See What Our Eyes Cannot !

Learn how computer vision is advancing beyond human visual perception capabilities

Medium · Machine Learning

Stop Wasting GPU Dollars on Blurry Data: Meet VigilCV, the 223µs Vision Gatekeeper

Learn how VigilCV helps prevent silent model failures in computer vision pipelines, saving GPU resources and improving model reliability

Medium · Deep Learning

The GeoNodes Grind: Bridging Procedural Power and Real-time Performance

Learn to optimize GeoNodes for real-time performance and procedural power in graphics rendering

Dev.to · kirolos nadi

This System Captures The Whole Stadium At Once | AI Chooses The Perfect Shot