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TensorFlow on Google Cloud
  • Level Professional
  • المدة 13 ساعات hours
  • الطبع بواسطة Google Cloud
  • Offered by

عن

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.

الوحدات

Course Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Introduction to the TensorFlow Ecosystem: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction to the TensorFlow ecosystem

Introduction to TensorFlow

    • 3 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to the TensorFlow Ecosystem

3 Videos

  • Introduction to TensorFlow
  • TensorFlow API Hierarchy
  • Components of TensorFlow: Tensors and Variables

1 Readings

  • Resources: Introduction to the TensorFlow Ecosystem

Design and Build Input Data Pipeline: Module Introduction

    • 2 Videos
Show info about module content

2 Videos

  • Introduction
  • An ML recap

Training on Large Datasets with tf.data API

    • 6 Videos
    • 1 ExternalTool
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1 External Tool

  • Lab: TensorFlow Dataset API

6 Videos

  • Training on large datasets with tf.data API
  • Working in-memory and with files
  • Getting the data ready for model training
  • Embeddings
  • Coursera: Getting Started with Google Cloud and Qwiklabs
  • Lab intro: TensorFlow Dataset API

Scaling data processing with tf.data and Keras preprocessing layers

    • 2 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Design and Build Input Data Pipeline

1 External Tool

  • Lab: Classifying structured data using Keras preprocessing layers

2 Videos

  • Scaling data processing with tf.data and Keras preprocessing layers
  • Lab intro: Classifying structured data using Keras preprocessing layers

1 Readings

  • Resources: Design and Build a TensorFlow Input Data Pipeline

Building Neural Networks with the TensorFlow and Keras API: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Activation Functions

    • 1 Videos
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1 Videos

  • Activation functions

Neural Networks with TF 2 and Keras

    • 6 Videos
    • 2 ExternalTool
Show info about module content

2 External Tool

  • Lab: Introducing the Keras Sequential API on Vertex AI Platform
  • Lab: Build a DNN using the Keras Functional API on Vertex AI Platform

6 Videos

  • 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
  • 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
  • Model subclassing

Regularization

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Building Neural Networks in TensorFlow with Keras API

2 Videos

  • Regularization basics
  • How can we measure model complexity: L1 vs. L2 Regularization

1 Readings

  • Resources: Building Neural Networks with the TensorFlow and Keras API

Training at Scale with Vertex AI: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Scaling TensorFlow with Vertex AI

    • 2 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Training at Scale with Vertex AI

1 External Tool

  • Lab: Training at scale with the Vertex AI Training Service

2 Videos

  • Training at scale with Vertex AI
  • Lab intro: Training at scale with the Vertex AI Training Service

1 Readings

  • Resources: Training at Scale with Vertex AI

Course Summary

    • 4 Readings
Show info about module content

4 Readings

  • Summary
  • Resource: All quiz questions
  • Resource: All readings
  • Resource: All slides

Auto Summary

Elevate your data science and AI skills with the "TensorFlow on Google Cloud" course, designed for professionals seeking to master machine learning model development. Offered by Coursera, this comprehensive program spans 780 minutes, providing in-depth training on building, fine-tuning, and scaling ML models using TensorFlow and Keras. Ideal for data scientists and AI enthusiasts, this course ensures you gain advanced expertise in enhancing model accuracy and deploying scalable solutions. Choose from various subscription options, including Starter, Professional, and Paid, to best fit your learning needs and career goals. Join now to transform your proficiency in ML model creation and application on Google Cloud.

Google Cloud Training
Instructor

Google Cloud Training