Abstract
In this section, we will learn how initialization of the parameters affects a neural network model. We will explore different initialization techniques and visualize the results.
A thought is a great big vector of neural activity and they have causal powers.
Geoffrey Hinton
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Ghatak, A. (2019). Initialization of Network Parameters. In: Deep Learning with R. Springer, Singapore. https://doi.org/10.1007/978-981-13-5850-0_4
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DOI: https://doi.org/10.1007/978-981-13-5850-0_4
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Online ISBN: 978-981-13-5850-0
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