Molecular Synthesis Planning: Transformer Models and Atom Mapping
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Delves into Deep Learning for Natural Language Processing, exploring Neural Word Embeddings, Recurrent Neural Networks, and Attentive Neural Modeling with Transformers.
Explores the evolution of visual intelligence models, focusing on Transformers and their applications in computer vision and natural language processing.
Explores predictive models and trackers for autonomous vehicles, covering object detection, tracking challenges, neural network-based tracking, and 3D pedestrian localization.
