The Deep Learning Fellowship is back for an in-person event. So, come and join a fellowship of deep learning and AI enthusiasts in their quest to keep up with the latest developments in artificial intelligence.
This group is targeted towards intermediate and advanced practitioners of deep learning, but all levels of expertise are welcome. The topics are advanced, but the mindset is that we are learning the material together.
As has been our tradition, we will select a paper ahead of time for each meeting from a vast pool of published research in the field of AI and Machine Learning. We will typically cover anything from computer vision, natural language processing to deep reinforcement learning and Bayesian networks. These meetups are intended to be an open discussion of the selected paper, related research and relevant model coding.
The paper for this meetup is:
"Experimental study of time series forecasting methods for groundwater level prediction" (https://arxiv.org/abs/2209.13927)
If you get a chance to read the paper before the meetup that is great. If not, don’t worry. We will be doing a detailed presentation covering the findings outlined in the paper, so if you don’t get a chance to read it you can still come to the session and join the discussion.
Our goal is to create an interactive study group where we collectively choose the research papers that we'd like to dig into and share the lessons we learn from attempting to execute the architecture in our own applications. Your feedback will be valuable in determining the structure and content of the event in the future.