July 2018
Intermediate to advanced
474 pages
13h 37m
English
book
Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
Content preview from Apache Spark Deep Learning Cookbook
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Setting up weights and biases for input into the neural network
The framework in PySpark and the data are now complete. It is time to move on to building the neural network. Regardless of the complexity of the neural network, the development follows a similar path:
- Input data
- Add the weights and biases
- Sum the product of the data and weights
- Apply an activation function
- Evaluate the output and compare it to the desired outcome
This section will focus on setting the weights that create the input which feeds into the activation function.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.