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Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...
A Memory Augmented Neural Network (MANN) is an extension to an RNN which enables it to save large amount of data to a memory object which is dimensionally separated from the Neural Network. This paper ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Signal processing has made extensive use of neural networks. This study examines neural network training using the PSO and BP algorithms. To train the neural network, the PSO algorithm alone, the BP ...
Ivy League credits for free: Here's a list of Harvard's Computer Science courses you can take online
Harvard University is now offering free online Computer Science courses, making Ivy League education accessible to all. These self-paced courses, avai ...
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