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  • Global training info
  • Category Data Science
  • Price (excl. VAT)
  • Language {{course.language}}
  • Duration 3 days
  • Time 09:00 - 17:00
  • Lunch Included

Deep Learning

Explore the essentials of deep learning through real-world applications. The deep learning (DL) approach to artificial intelligence (AI) has already revolutionized many industries. Learn how these autonomous, self-teaching systems, like Google’s voice and image recognition algorithms, are developed and applied in this dynamic, three-day training. Through hands-on experience, you’ll learn how to leverage cloud GPU resources and build deep-learning models for images, text and time series.

Who should attend Deep Learning training? 

  • You have experience with data science using Python 
  • You are proficient with data science tooling (SSH, git, Jupyter Notebook)
  • You know the basics of machine learning (ML) and have knowledge of bias versus variance tradeoff, logistic regression, SVM, etc.

Achievements Upon Completion

Through instructor-led discussion and interactive, hands-on exercises, participants will achieve the following outcomes: 

You will know: 

  • The basics of neural networks (backpropagation, optimizers, activation functions, etc.)
  • Heuristics to get your network to learn
  • Neural network architectures (feedforward, convolutional, recurrent)

You will gain hands-on experience as you: 

  • Build your own deep learning infrastructure in the cloud
  • Debug your models with visualization tools
  • Create your own deep learning models for image, text and time series data

Additional Information

Prerequisites 

  • Minimum one year working experience with pandas, scikit-learn, matplotlib, etc. required.

Requirements

  • Please bring your own  laptop with Anaconda, SSH and git installed.


http://training.xebia.com/data-science/deep-learning