April 2018
Intermediate to advanced
334 pages
10h 18m
English
Content preview from Reinforcement Learning with TensorFlow
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What is xavier initialization?
Xavier Initialization is the initialization of weights in the neural networks, as a random variable following the Gaussian distribution where the variance 
being given by
Where, 
is the number of units in the current layer, that is, the incoming signal units, and 
is the number of units in the next layer, that is, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.