Build a custom ML model with Vertex AI

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Build RAG apps with embeddings
Опубликовано 25 июня 2021, 23:00
Training code requirements → goo.gle/3zLuJHz
Vertex AI: Training and serving a custom model codelab → goo.gle/3h5cO5L

How can you build a Custom ML Model from scratch with Vertex AI? In this episode of AI Simplified, we build custom ML models and explore the different ways to run custom training in Vertex AI. Further, we kick off our training job in the console, and we deploy the TensorFlow model using a pre-built container. Watch to learn how Vertex AI makes building a custom ML model seamless!

Chapters:
0:00 - Intro
0:43- What do we need to create a custom ML training job?
3:18 - Demo
9:59 - Summary

Basic regression: Predict fuel efficiency → goo.gle/3wWuZRV

Watch more episodes of Getting Started with Vertex AI → goo.gle/AISimplified
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

#AISimplified

product: Vertex AI; fullname: Priyanka Vergadia;
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