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
  • CHF 1,800.—
Classroom Training

Duration
2 days

Price
  • Switzerland: CHF 1,800.—
 

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.

English

Time zone: Central European Summer Time (CEST)

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