Computer Vision Fundamentals on Google Cloud | Google Cloud Skills Boost

Кроки для для здобуття необхідних навичок для спеціальностей з напрямку AI & Data на платформі Google Cloud Skills Boost завдяки можливості надданій Google Ukraine.

Курс: Computer Vision Fundamentals on Google Cloud

Computer Vision Fundamentals on Google Cloud,  Mar 25, 2024

Summary

This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models.

The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data.

The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models.

Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on.

• Module 1: Introduction to Computer Vision and Pre-built ML Models with Vision API
• Module 2: Vertex AI and AutoML Vision on Vertex AI
• Module 3: Custom Training with Linear, Neural Network and Deep Neural Network model
• Module 4: Convolutional Neural Networks
• Module 5: Dealing with Image Data

Machine Learning Engineer Learning Path

A Machine Learning Engineer designs, builds, productionizes, optimizes, operates, and maintains ML systems.

Summary

A Machine Learning Engineer designs, builds, productionizes, optimizes, operates, and maintains ML systems. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the ML Engineer role. Once you complete the path, check out the Google Cloud Machine Learning Engineer certification to take the next steps in your professional journey.

Machine Learning Engineer Learning Path

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