Deep Learning Bootcamp: Image Recognition (Image Classification) | Text Analysis (Sentimental Analysis)


For company packages use the code “MLCOMPANY” and get 20% OFF starting at 3 tickets.
The world needs more women in data science! Use the code “WOMENDATASCIENTISTSROCK” and get 30% OFF for all female attendees.


Tickets can also be purchased on EVENTBRITE (additional costs will occur).

Instructed by Dr. Kashif Rasul¹, Researcher at Zalando Research.

The image classification problem is a fundamental problem in computer vision which has broad applications ranging from object detection (for self-driving cars), image captioning (for semantic searching images), action classification, and the techniques you will learn in this workshop have become the standard tools solving these kinds of problems with alot of success.

By the end of the workshop participants should be able to train/validate and compare a range of image recognition and text analysis models using the state of the art methods in deep learning.

The aim of this course is to teach the fundamentals of deep learning from Convolutional Neural Networks (CNNs) to Recurrent Neural Networks (RNNs)highlighting modern methodologies and techniques using the PyTorch API.

We will cover the following topics:

After the course, you should be able to read and understand PyTorch code examples or tutorials and try out this framework in your own time.


 Day 1:

  • 09:30 – 10:00 Registration
  • 10:00 – 13:00 Deep Learning: Image Recognition
  • 13:00 – 14:00 Lunch
  • 14:00 – 17:30 Deep Learning: Image Recognition


Day 2:

  • 09:30 – 10:00 Registration
  • 10:00 – 12:30 Deep Learning: Text Analysis
  • 12:30 – 13:30 Lunch
  • 13:30 – 17:00 Deep Learning: Text Analysis
  • 17:00 – 18:00 Drinks & Networking & Music

P.S You can choose 2 days Bootcamp or just 1 Bootcamp. You can use code “onlyone” and the price will be deducted automatically. 

We will send out the class materials as well as required library 2 weeks before the class, please follow the instruction and get the environment ready before coming to class.


Who should attend?

  • Data Scientist who wants  to improve or learn more projects outside of work or company
  • Business Intelligence who are already familiar with statistics, want to understand better deep learning
  • Data Engineer who wants to switch to be a data scientist


¹ where he is working in the area of reinforcement learning, deep learning, and high-performance computing. Kashif has a PhD. in Mathematics from the Freie Universität Berlin and has worked as a co-founder in several companies. He has presented at numerous conferences, meetups and workshops including at NVIDIA’s GTC in 2009 and 2017, PyData, and others both in Germany and overseas. He also contributes to open source projects in the area of GPU computing and deep learning on github: Prior to finishing his PhD. he worked at the Max Planck Institute in Golm, Germany and at Visage Imaging in Berlin as a software developer.


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