A Toolarge Weight Initialized On The Neural Network Can Lead To #609
A too-large weight initialized on the neural network can lead to vanishing gradient whereas a too-small weight initialized on the neural network can lead to exploding gradient.
This multiple choice question (MCQ) is related to the book/course
gs gs126 Neural Networks.
It can also be found in
gs gs126 Neural Networks - Random Initialization - Quiz No.1.
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