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Contact Giovanni Lanzani, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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Data Science - Senior

Deep Learning

Lernen Sie von den Experten, wie Sie Deep Learning Algorithmen gestalten GoDataDriven kann auf zahlreiche Erfolge bei der Entwicklung von Deep Learning Anwendungen und ihrem Einsatz in datengestützten Unternehmen zurückblicken und hat darauf basierend diesen dreitägigen Kurs mit genau dem richtigen Mix aus Konzepten und Praxisübungen entwickelt.

This training is for you if…

  • You want to leverage the power of deep learning to solve problems that would be impossible to solve with more traditional ML techniques

  • You have (some) experience with data science & machine learning

  • You want a practical course that will teach you to build your own deep learning models

  • You want to understand enough theory to make the right decisions for your deep learning models

This training is not for you if…

  • You never work with unstructured data, such as text, images, audio or video and never expect to either

  • You have no experience with Python or data science whatsoever (check out the Certified Data Science with Python training instead)

  • You are already familiar with DL basics and want to apply it to a specific data type (check out the Deep Learning Applied to NLP training instead)

  • You are not interested in applying DL in practice; you’re just here for the maths and theory

Clients we've helped

What you'll learn

  • The history of Deep Learning
  • How to determine your network architecture
  • How to choose which loss functions to use
  • The best structure and way of working for creating your neural network
  • Advanced topics within Keras API, such as embedding layers, lambda layers, custom layers, and tensor operations within neural networks

The schedule

Day 1
  • Die Grundlagen Neuronaler Netzwerke (Backpropagation, Optimizer, Aktivierungsfunktionen)
  • Keras für Deep Learning verwenden
  • Heuristiken, mit denen Ihr Netzwerk lernt und arbeitet
Day 2
  • Fortgeschrittene Kenntnisse in der Keras-API
  • Convolutional Neural Networks mit einer Anwendung zur Bilderkennung
Day 3
  • Recurrent Neural Networks (Rückgekoppelte Neuronale Netzwerke wie LSTM und GRU) mit einer Anwendung für Zeitreihen und NLP
  • Abschließende Praxisübungen nach Wunsch und Feedback der Teilnehmer

After the training you will be able to:

  • Build and train your own neural networks with Keras/TensorFlow
  • Apply deep learning to a range of different types of data: image, text and time series
  • Intuitively understand the theory behind Deep Learning to make the right choices
meet your trainer

Marysia Winkels

Data Scientist

Marysia is a data scientist who is proud to work on any AI application that can provide solutions to real-world problems. She is always eager to learn from, and be inspired by, her peers.

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Giovanni Lanzani, our Managing Director of Learning and Development, if you want to know more. He’ll be happy to help you!

Call me back

You can reach him out by phone as well at +31 6 51 20 6163

Course: Deep Learning Kurs

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