Back Propagation in Neural Network with an Example | Machine Learning (2019)
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Backpropagation in Neural Network is
Backpropagation in Neural Network is a supervised learning algorithm, for training Multi-layer Perceptrons (Artificial Neural Networks).
The Backpropagation algorithm in neural network looks for the minimum value of the error function in weight space using a technique called the delta rule or gradient descent. The weights that minimize the error function is then considered to be a solution to the learning problem.
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The Backpropagation algorithm in neural network looks for the minimum value of the error function in weight space using a technique called the delta rule or gradient descent. The weights that minimize the error function is then considered to be a solution to the learning problem.
Visit our website for more Machine Learning and Artificial Intelligence blogs
https://www.codewrestling.com
Checkout other videos on Machine Learning
Decision Tree (ID3 Algorithm) : Decision Tree Solved | Id3 Algorithm ...
Candidate Elimination Algorithm : Candidate Elimination Algorithm Conce...
Naive Bayes Algorithm : Naive Bayes algorithm in Machine lear...
Checkout the best programming language for 2020
Top Programming Languages to learn in...
Checkout best laptop for programming in machine learning and deep loearning in 2020
Best Laptop for Machine Learning in 2...
10 best artificial intelligence startup in india
10 Artificial Intelligence (AI) start...
Join Us to Telegram for Free Placement and Coding Challenge Resources including Machine Learning also~ @Code Wrestling
https://t.me/codewrestling
Ask me A Question: [email protected]
Refer Slides: https://github.com/codewrestling/Back...
Music: https://www.bensound.com
For Back Propagation slides comment below 😀
5 سال پیش
در تاریخ 1398/04/22 منتشر شده
است.
187,972
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