Abstract: Deep learning has succeeded at such difficult tasks as driving cars or winning a game of Go and Dota2. It all sounds spectacular... but how do you create a state-of-the-art neural network for an even simpler task - image classification? In this workshop we will try to make every set approachable, from setting up the environment through building first models to tinkering with experiments.
During the hands-on session, you will experiment with an artificial neural network for image classification and learn practical hacks for how to tune the network for your needs, using techniques such as transfer learning and data augmentation. By the end of the workshop you will be able to create and optimize a deep learning project from scratch.
In this workshop we’ll be using PyTorch, a deep learning framework in Python. You will have a chance to understand why it is a tool of choice for machine learning researchers and data scientists. And why Andrej Karpathy’s skin has improved since he started using it!
Don’t worry about setting up the environment or renting a GPU - all of this will be taken care of by Neptune, the Machine Learning Lab. This platform allows us to send code to a preconfigured cloud environment and keep track of our deep learning experiments. It comes with pre-installed libraries such as tools Jupyter Notebook, PyTorch, Keras, TensorFlow and others.
Bio: Jan is a member of the deepsense.ai Machine Learning Team. He has earned two prestigious degrees: a M.Sc. in Economics from the University of Warsaw (UW) and a M.Sc. in Mathematics from both VU University Amsterdam and UW. As an instructor he reads the R language for statistical computing at Warsaw University of Technology. Currently, he is also pursuing his PhD at the Institute of Computer Science, part of the Polish Academy of Sciences. In his research, Jan works on sports analytics with a major focus on processing football related data. This is a dream come true because it gives him a chance to connect his two passions - sport and science. He is an author of several publications in the area of data analysis.