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novak_99 2022-02-05 00:45:23 -08:00
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MLPP/ANN/ANN.cpp
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@ -558,6 +558,8 @@ void ANN::Adam(double learning_rate, int max_epoch, int mini_batch_size, double
} }
} }
// https://www.youtube.com/watch?v=4qDt4QUl4zE
// The above video detailed the necessary components of the line search algorithm.
double ANN::backTrackingLineSearch(double beta, double learningRate){ double ANN::backTrackingLineSearch(double beta, double learningRate){
LinAlg alg; LinAlg alg;
forwardPass(); forwardPass();

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README.md
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@ -136,6 +136,8 @@ The result will be the model's predictions for the entire dataset.
- Epoch Based - Epoch Based
- Step Based - Step Based
- Exponential - Exponential
7. Learning Rate Finders
- Backtracking Line Search Optimization
3. ***Prebuilt Neural Networks*** 3. ***Prebuilt Neural Networks***
1. Multilayer Peceptron 1. Multilayer Peceptron
2. Autoencoder 2. Autoencoder