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11min chapter
Becoming a deep learning researcher without a PhD, graph neural network(GNN), time series, recommender system with Kyle Kranen - The Data Scientist Show#028
The Data Scientist Show
Advancements and Applications of Deep Learning in Reinforcement Learning
The chapter explores the speaker's interest in graph neural networks and excitement over advancements in reinforcement learning. Real-world applications like DeepMind optimizing YouTube compression and projects like AlphaGo and AlphaFold are discussed. The discussion delves into the future of deep learning research, focusing on expanding to larger models and the importance of continuous growth and specialization in specific domains within the field.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode