Deep Learning on Google Cloud Platform


Course Number: GCP-134

Duration: 1 day (6.5 hours)

Format: Live, hands-on

Deep Learning on GCP Training Overview

This live, hands-on Deep Learning on GCP training teaches teams how to use Google Cloud Platform to create and train deep learning models in the cloud. Participants learn how to use Keras and TensorFlow with GCP’s AI Platform, as well as how to build and train their own models or how to use one of Google’s many pre-trained deep learning models.

Location and Pricing

This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.

Objectives

All students will be able to:

  • Understand Google Cloud Platform (GCP)
  • Compare artificial intelligence, machine learning, and deep learning
  • Understand how machines learn
  • Understand shallow and deep neural networks
  • Understand convolutional neural networks
  • Understand deep learning for image recognition
  • Use TensorFlow and Keras to build deep learning models
  • Use AI platform on GCP
  • Use AI platform notebooks to build and train deep
  • Understand learning models
  • Use Cloud Shell on GCP
  • Use Google’s pre-built machine learning models on GCP

Prerequisites

Students must have Python experience and a basic understanding of Machine Learning.

Outline

Expand All | Collapse All

Introduction
Compare AI versus ML versus DL
Understanding How Machines Learn
Structured versus Unstructured Data
Installing Anaconda and TensorFlow
Introduction to Neural Networks
  • The math behind neural networks
  • Activation functions
  • Vanishing gradient problem and ReLU
  • Loss functions
  • Gradient descent
  • Backpropagation
Understanding the intuition behind neural networks
Introducing Perceptrons
  • Single Layer linear classifier
  • Step Function
  • Updating the weights
  • Linear separability and XOR problem
Hidden Layers: Intro to Deep Neural Networks
Introducing Keras/TensorFlow
  • TensorFlow intro
  • What is Keras?
Case Studies
  • Installing Anaconda and TensorFlow
  • Using Keras to implement a neural network
  • Building a DNN model for image classification
  • Getting Started with GCP
  • Creating a TensorFlow model using AI Platform
  • Notebooks
  • Building a Convolutional Neural Network
  • Creating an Image Classifier with a CNN
Conclusion

Training Materials:

All Deep Learning on GCP training students receive comprehensive courseware.

Software Requirements:

Students must have the Google Chrome web browser and Internet access.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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