Tutorial 11- Various Weight Initialization Techniques in Neural Network

Published: 26 July 2019
on channel: Krish Naik

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The weights of artificial neural networks must be initialized to small random numbers.

This is because this is an expectation of the stochastic optimization algorithm used to train the model, called stochastic gradient descent.

To understand this approach to problem solving, you must first understand the role of nondeterministic and randomized algorithms as well as the need for stochastic optimization algorithms to harness randomness in their search process

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