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If human intelligence can be replicated, and human experience can be deep learned, the barrier between man and machine will begin to crumble.
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Efficient Deep Learning for Stereo Matching.
Unsupervised (or deep) learning methods [12].
Fig. 3 Deep learning training model.
Deep learning challenges and perspectives are well explained in [49].
Their Deep Learning model outperforms other existing approaches.
What IBM is promising is the most efficient distributed deep learning library for breaking up a giant deep learning problem into hundreds of smaller deep learning problems.
An empirical comparison of the deep learning architecture is done.
Deep Learning (DL) algorithms have become ubiquitous in data analytics.
Especially deep learning.
WHAT is deep learning?
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CEO of Professional Science Editing for Scientists @ prosciediting.com