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

Prix & Delivery methods

Formation en ligne

Durée
2 jours

Prix
  • CHF 1 800,–
Formation en salle équipée

Durée
2 jours

Prix
  • Suisse : CHF 1 800,–
 

Agenda

Date garantie :   Fast Lane s’engage à mettre en œuvre les formations garanties quelque soit le nombre de participants, en dehors des cas de force majeurs ou d’événements exceptionnels, comme un accident ou un maladie de l’instructeur.
Instructor-led Online Training:   Course conducted online in a virtual classroom.

Anglais

Fuseau horaire : Heure d'été d'Europe centrale (HAEC)

Formation en ligne Fuseau horaire : Heure d'été d'Europe centrale (HAEC) Langue : Anglais garanti !
Formation en ligne Fuseau horaire : Heure normale d'Europe centrale (HNEC) Langue : Anglais