January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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In this section, we wanted to mention a few additional, yet interesting things connected to MLP.
Multivariate setting: We can use the multilayer perceptron in the multivariate setting. Two types of possible cases are:
- Multiple input series: Multiple time series are used to predict the future value(s) of a single time series.
- Multiple parallel series: Multiple time series are used to predict future value(s) of multiple time series simultaneously.
A sequential approach to defining the network's architecture: We can also define the network's architecture using nn.Sequential, which might be similar to anyone who worked with Keras before. The idea is that the input tensor is sequentially passed through the specified layers. ...
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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.
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