Deep Learning in Theory and Practice (HU0F0S)

 

Course Overview

This training covers industry-standard deep learning with applications in computer vision and natural language processing. With focus on hands-on labs using TensorFlow and Keras, the course includes a comprehensive and practical guide to deep learning, including optimization techniques.

Who should attend

  • This course is ideal for data engineers, data scientists, researchers, solution architects, software engineers, AI enthusiasts, statisticians and other IT professionals looking for a practical foundation in deep learning with neural networks.

Prerequisites

  • Basic understanding of any programming or scripting language

Course Objectives

At the end of this course, you will be able to:
  • Design and develop neural network models in structured frameworks
  • Understand core buzzwords and terminology
  • Kick-start a deep learning project
  • Build a suitable deep learning model for a given problem statement
  • Export the deep learning model for consumption by other app developers

Prices & Delivery methods

Online Training

Duration
2 days

Price
  • 1,500.— €
Classroom Training

Duration
2 days

Price
  • Germany: 1,500.— €
  • Switzerland: CHF 1,800.—
 

Schedule

Guaranteed date:   The course is guaranteed to run regardless of the number of participants. This excludes unforeseeable events (e.g. accident, illness of the trainer) which make it impossible to carry out the course.
Instructor-led Online Training:   Course conducted online in a virtual classroom.

English

Time zone: Central European Summer Time (CEST)   ±1 hour

Online Training Time zone: Central European Summer Time (CEST) Guaranteed date!
Online Training Time zone: Central European Time (CET)