Logistify Game vs DeepLearn Hub

Ever wonder how products make it from the factory to our doorsteps? Want to increase your understanding of the global economy in a playful way? Take the Logistify challenge and play your way to more expertise in the field of sustainable logistics. Logistify: Transport Three minigames introduce you to the different modes of transport and an efficient use of resources. Develop your talents in logistical planning and crane operation to transport various goods, determining which form of transport would be the best economic and ecological option (truck, train or barge) for each shipment. Construct supply chains in the correct sequence and verify and view them using Augmented Reality. And chat with virtual avatars to learn more about specific professions within the field of Logistics. Logistify: Retail Take on the role of a party planner and try to satisfy your customers’ wishes. Choose the best local suppliers and deliver customer orders, keeping track of availability, prices, ecological production standards and, of course, the last mile. Collect points based on how closely you meet customer demands and sustainability goals. Logistify: Green Transport Plan your transport route by selecting the best mode of transport for each good, taking advantage of multimodal transport to reduce emissions, save time and keep under budget. Additional information: https://www.retrans.at/de/ https://www.rewway.at/de/ Augmented Reality Markers in German: https://www.rewway.at/de/lehrmittel/ubungen-logistify/ Augmented Reality Markers in English: https://www.rewway.at/en/teaching-materials/logistify-documents/

DeepLearn Hub: Master Deep Learning Step by Step Build real deep learning skills with a structured, practical learning experience. DeepLearn Hub brings together guided lessons, coding practice, flashcards, cheatsheets, and visual concept modules to help you learn TensorFlow, PyTorch, and scikit-learn in one place. LEARN THROUGH STRUCTURED PRACTICE • 22 structured learning units across TensorFlow, PyTorch, and scikit-learn • 1,540 hands-on coding exercises total, with 70 exercises in every unit • 406 lecture-note entries for step-by-step concept review • Daily coding challenges to keep your skills sharp • Progress tracking to help you stay consistent and see your improvement STUDY SMARTER WITH BUILT-IN TOOLS • TensorFlow Flashcards: 12 units and 1,200 cards • PyTorch Flashcards: 12 units and 1,200 cards • scikit-learn Flashcards: 12 units and 1,200 cards • Searchable cheatsheets for TensorFlow, PyTorch, and scikit-learn • Quick-reference coverage for core APIs, preprocessing, training workflows, model selection, metrics, and more VISUAL DEEP LEARNING CONCEPT MODULES • 10 built-in HTML lessons focused on key deep learning algorithms and training mechanics • Topics include backpropagation, SGD, Adam, dropout, batch normalization, CNNs, ResNets, LSTMs, Transformers, and GANs • Clear, visual explanations designed to make complex concepts easier to understand PERSONALIZED, FLEXIBLE LEARNING • 12 app themes • 15 interface languages, including English, Spanish, French, German, Chinese, Japanese, Korean, and more • Offline-friendly access to bundled learning content, so you can study anytime DeepLearn Hub is built for AI beginners, data scientists, machine learning engineers, software developers, students, and anyone who wants a practical path into modern deep learning. Learn the fundamentals, strengthen your coding skills, and build a stronger understanding of how today's machine learning frameworks work in real projects.