Deep Learning


Deep Learning

Learn to create Deep Learning Algorithms from the experts. Thanks to its proved track records of developing a deploying Deep Learning applications at the leading data-driven enterprises, GoDataDriven has developed this 3-days course with just the right mix of concepts and hands-on.

Register Now Through the Xebia Academy Website

You will be redirected to the Xebia Academy Website for registration

Register Now for just € 1.995

This course is perfect for Machine Learning specialists who

  1. Want to get a grip on the most popular machine learning technique
  2. Want to enhance their data science skills and get to know the best practice for starting with Deep Learning
  3. Are already familiar with Python and the concepts of Machine Learning.

What will you learn during the Deep Learning course:

  1. This course helps you understand what makes Deep Learning so powerful, especially compared to the traditional techniques,
  2. You will understand and be able to use Keras, a simple and consistent API for Deep Learning
  3. We will also teach you how about the intuition behind neural networks and the various network architectures

The Program

The program of this 3-days Deep Learning course is as follows:

Day 1

  • The basics of neural networks (backpropagation, optimizers, activation functions).
  • How to use Keras for Deep Learning
  • Heuristics to get your network to learn and perform

Day 2

  • Advanced knowledge of Keras API
  • Convolutional neural networks with an application for image recognition

Day 3

  • Recurrent neural networks (LSTM, GRU) with an application for time series and NLP
  • Final hands-on lab based on participants interest and feedback

You will be redirected to the Xebia Academy Website for registration

Course details

You will 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
  • How to build an image classifier
  • How to build a sequence classifier
  • The internal structure of LSTM and GRU and the differences between them
  • The basics of convolutional neural networks and how they work

Download Training brochure

Download the GoDataDriven brochure for a complete overview of available training sessions and data engineering, data science, and analytics translator learning journeys.

Download Brochure

Training Formats

Training Formats

This training is available in the following formats:

In-Company Classroom

In-Company training is perfect for groups of 6 or more. The training takes place online, at your office, or at one of our modern training facilities.

Online Virtual Classroom

Virtual Classrooms provide you with an interactive environment to effectively develop your skills, right from the comfort of your own home or office. Every training is packed with interactive elements such as hands-on labs, quizzes and live coding examples.

Data Science Learning Journey

This data science learning journey is available for any data professional. Our extensive training programs are designed to develop your skills from junior to senior.

Our curriculum teaches you new skills and empowers you to stay ahead professionally. We offer solid fundamentals that apply to practical Python courses, whether you are a beginner or an advanced user. We also offer courses on Spark, R, and Deep Learning.

We’ve experienced first hand what works and what doesn’t through our consulting business, and we pass that knowledge on to you through our education business. You learn all the ins and outs of the data science models most seen in the field, in a fast-paced classroom training that ups your game.

Click here for more information about the Learning Journey for Data Scientists

Data Science Learning Journey

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Any questions? Please get in touch!

Contact Gert-Jan Steltenpool, our Sales Director, if you want to know more. He’ll be happy to help you!