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Google

TensorFlow on Google Cloud

Google via Google Cloud Skills Boost

Overview

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.

Syllabus

  • Introduction to the Course
    • Introduction
  • Introduction to the TensorFlow Ecosystem
    • Introduction to the TensorFlow ecosystem
    • Introduction to Tensorflow
    • TensorFlow API hierarchy
    • Components of Tensorflow: Tensors and variables
    • Quiz: Introduction to the TensorFlow Ecosystem
    • Resources: Introduction to the TensorFlow Ecosystem
  • Design and Build an Input Data Pipeline
    • Introduction
    • An ML recap
    • Training on large datasets with tf.data API
    • Working in-memory and with files
    • Getting the data ready for model training
    • Embeddings
    • Lab intro: TensorFlow Dataset API
    • TensorFlow Dataset API
    • Scaling data processing with tf.data and Keras preprocessing layers
    • Lab intro: Classifying structured data using Keras preprocessing layers
    • Classifying Structured Data using Keras Preprocessing Layers
    • Quiz: Design and Build Input Data Pipeline
    • Resources: Design and Build a TensorFlow Input Data Pipeline
  • Building Neural Networks with the TensorFlow and Keras API
    • Introduction
    • Activation functions
    • Training neural networks with TensorFlow 2 and the Keras Sequential API
    • Serving models in the cloud
    • Lab intro: Introducing the Keras Sequential API on Vertex AI Platform
    • Introducing the Keras Sequential API on Vertex AI Platform
    • Training neural networks with TensorFlow 2 and the Keras Functional API
    • Lab intro: Build a DNN using the Keras Functional API on Vertex AI Platform
    • Build a DNN using the Keras Functional API
    • Model subclassing
    • Regularization basics
    • How can we measure model complexity: L1 vs. L2 Regularization
    • Quiz: Building Neural Networks in TensorFlow with Keras API
    • Resources: Building Neural Networks with the TensorFlow and Keras API
  • Training at Scale with Vertex AI
    • Introduction
    • Training at scale with Vertex AI
    • Lab intro: Training at Scale with Vertex AI Training Service
    • Training at Scale with Vertex AI Training Service
    • Quiz: Training at Scale with Vertex AI
    • Resources: Training at Scale with Vertex AI
  • Summary
    • Summary
    • Resource: All quiz questions
    • Resource: All readings
    • Resource: All slides
  • Your Next Steps
    • Course Badge

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