This book will teach you how to build, train, deploy, scale and maintain deep learning models. You will understand ML infrastructure and MLOps using hands-on examples with Tensorflow, Flask, Docker, Kubernetes, Google Cloud and more.
This course is a higly-interactive, hands-on introduction into the most popular deep learning architectures. It will help you learn the intuition and the mathematics behind deep learning and will provide you with practical experience in Pytorch. The course is 100% text-based and is hosted in educative.io.
Representation Learning course designed by Nikolas Adaloglou and taught along with Felix Michels in the summer semester of 2023 at the University of Dusseldorf, Germany.
Interested in Reinforcement Learning? Can't find any easy course or book covering all the basics? That's why we combined all of our RL articles into a single pdf to make it easier for you to read. This FREE pdf course is for you
This ebook follows the chronological order of 20 peer-reviewed highly-cited papers as they presented in a series of 6 articles. Our goal was to make this manuscript as self-complete as possible, so everyone can dive into GANs. Consider it as a single point of reference for your current and future reading. If this is something that might interest you, sign up below and we will send it into your inbox right away