14–17 Oct 2019

Convolutional neural networks for image recognition in Keras and TensorFlow (Day 2)

Location: Hilton Meeting Room 3/4
Average rating: ****.
(4.00, 1 rating)

Who is this presentation for?

  • You're a software engineer or programmer with a background in Python, and you wish to develop an understanding of CNNs and how to use them in your own projects.

Level

Intermediate

Description

NOTE: You will receive an introduction to the newly released TensorFlow (TF) 2.0 in this training.

Day 2

Morning

  • Keras callbacks classes

  • Keras functional APIs
  • Saving and loading models and weights
  • Example of saving and loading of weights and models with MNIST


  • Transfer learning

  • Using pretrained networks in Keras

  • A practical application of transfer learning

  • Development of a CNN with real images with transfer learning



LUNCH

Afternoon

  • Neural style transfer
  • An introduction

  • Apply NST to your images
  • tf.data.Dataset for data management

Prerequisite knowledge

  • Familiarity with Python, basic mathematics, modeling, and statistics

What you'll learn

  • Understand CNNs and how to implement them in Python, TensorFlow, and Keras
  • Learn to develop CNNs, use pretrained networks like VGG16, and use them in art or practical problems like object detection in real-time with an image or with a webcam
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dell Technologies
  • Hewlett Packard Enterprise
  • AXA

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

aisponsorships@oreilly.com

For information on exhibiting or sponsoring a conference

pr@oreilly.com

For media/analyst press inquires