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Forum: ML / Neural network

Network structure inspired by simplified models of biological neurons (brain cells). Neural networks are trained to "learn" by supervised and unsupervised techniques, and can be used to solve optimization problems, approximation problems, classify patterns, and combinations

11 Jul, 2019
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Sriman

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Joined: 15 Jul, 2016

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What are advantages of Artificial Neural Networks over Support Vector Machines

ANN (Artificial Neural Networks) and SVM (Support Vector Machines) are... More

Last edited by Sriman: 11 Jul, 2019
Replies: 0 | Views: 268


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11 Jul, 2019
User Image
Sriman

Contributor

Joined: 15 Jul, 2016

Points: 1820

Threads: 1913

Posts: 293

What are advantages of Artificial Neural Networks over Support Vector Machines

ANN (Artificial Neural Networks) and SVM (Support Vector Machines) are... More

Last edited by Sriman: 11 Jul, 2019
Replies: 0 | Views: 275


No Posts Available
11 Jul, 2019
User Image
Sriman

Contributor

Joined: 15 Jul, 2016

Points: 1820

Threads: 1913

Posts: 293

Role of Bias in Neural Networks

I'm aware of the Gradient Descent and the Back-propagation Theore... More

Last edited by Sriman: 11 Jul, 2019
Replies: 0 | Views: 230


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