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Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores Seq2Seq models with and without attention mechanisms, covering encoder-decoder architecture, context vectors, decoding processes, and different types of attention mechanisms.
Explores recent advances in magnetic materials and spintronics, including manipulating magnetization with light pulses and essentials for high-density magnetic random-access memory.
