Initializing Weight Matrices with [-0.1, 0.1] - Lipontseng

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SUMMARY

The discussion focuses on initializing weight matrices for a neural network using MATLAB's newff function. The user, Lipontseng, is working with a dataset of 357 inputs and 8324 features and seeks to set the weight initialization range between -0.1 and 0.1. The neural network architecture specified includes two layers with 2 and 3 neurons, respectively, and employs the 'logsig' and 'purelin' activation functions. The inquiry emphasizes the need for specific code to achieve the desired weight initialization.

PREREQUISITES
  • Familiarity with MATLAB programming
  • Understanding of neural network architecture and layer configuration
  • Knowledge of activation functions, specifically 'logsig' and 'purelin'
  • Basic concepts of weight initialization in machine learning
NEXT STEPS
  • Research MATLAB's 'newff' function for neural network creation
  • Explore weight initialization techniques in neural networks
  • Learn about the implications of weight initialization ranges on training
  • Investigate alternative neural network functions in MATLAB, such as 'fitnet' or 'patternnet'
USEFUL FOR

Machine learning practitioners, MATLAB users, and anyone involved in neural network design and implementation.

chamrik
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hi everyone,

can you guys pls help out.

I want to initialise my weight matrices based on the following:

I have 357*8324 inputs


net = newff(minmax(x),[2,3],{'logsig','purelin'},'traingd');

I want to initialise the weight matrices with numbers between
[-0.1,0.1]. how do I go about it?

thanks
Lipontseng
 
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