Good morning, everyone! It is my great pleasure to be here and share with you my thoughts on how we can move towards deep learning. Deep learning has become increasingly popular in recent years, with applications ranging from facial recognition to natural language processing. It is a powerful tool for solving complex problems that require sophisticated algorithms. But the path to deep learning isn’t always easy or straightforward. In her book “Learning Communities Towards Deep Learning”, Chen Jingjing outlines a framework for creating successful deep learning communities that can help us reach our goals faster and more efficiently. She proposes three key elements: collaboration, communication, and innovation. First of all, collaboration is essential for any successful project. We need to work together to identify our goals and develop strategies to achieve them. Collaboration also helps us share resources and knowledge so that everyone can benefit from each other’s expertise. Second, effective communication is necessary for teams to stay connected and informed about progress towards their objectives. This includes both formal meetings as well as informal conversations about ideas and solutions that may not have been discussed before. Finally, innovation is the key ingredient in any successful endeavor – without it we cannot move forward or make progress on our goals. We must be open-minded when it comes to trying new things or taking risks if we want to continue moving towards deeper learning experiences. By following Chen Jingjing’s framework of collaboration, communication, and innovation, we can create strong deep learning communities that will help us reach our goals faster and more efficiently than ever before! Thank you very much!