Course Outline

Introduction

Overview of Deep Learning Concepts

How CNNs (Convolutional Neural Networks) Work

Setting up the Development Environment

How Transfer Learning Works

Segmenting an Image

Analyzing an Image

Designing a CNN

Training a CNN

Classifying an Image

Integreting a Deep Learning Model into an Application

Deploying a Deep Learning Application

Summary and Conclusion

Requirements

  • An understanding of deep neural networks
  • Python programming experience

Audience

  • Developers
  • Data scientists
  14 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

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