Dive into the world of deep learning with this 59-minute conference talk from ML Conference 2017. Explore how deep learning can be applied effectively even with moderate resources and not-so-big data. Gain insights into the essential concepts of matrix algebra and calculus underlying deep learning algorithms. Learn valuable tips and tricks for getting started with popular frameworks like Keras, PyTorch, and TensorFlow. Discover how to integrate deep learning into various applications and understand its potential beyond tech giants. Join Sigrid Keydana from Trivadis as she demystifies the coding aspects of deep learning and equips you with the knowledge to leverage this powerful technology in your projects.