From b3dd33e4e6b7a3b07c31c335ad239e513f2cf505 Mon Sep 17 00:00:00 2001 From: realstealthninja Date: Sat, 31 Aug 2024 04:08:03 +0000 Subject: [PATCH] Documentation for 1d692227dc3dcd8d800966177f8d8d26a996088c --- ...ine__learning_1_1neural__network_1_1_neural_network.html | 6 +++--- ...arning_1_1neural__network_1_1layers_1_1_dense_layer.html | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html b/d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html index ac79ba814..3e648c295 100644 --- a/d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html +++ b/d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html @@ -554,7 +554,7 @@ Here is the call graph for this function:
607 {
608 std::cout << "INFO: Evaluation Started" << std::endl;
-
609 double acc = 0, loss = 0; // intialize performance metrics with zero
+
609 double acc = 0, loss = 0; // initialize performance metrics with zero
610 for (size_t i = 0; i < X.size(); i++) { // For every sample in input
611 // Get predictions
612 std::vector<std::valarray<double>> pred =
@@ -723,7 +723,7 @@ Here is the call graph for this function:
502 auto start =
503 std::chrono::high_resolution_clock::now(); // Start clock
504 double loss = 0,
-
505 acc = 0; // Intialize performance metrics with zero
+
505 acc = 0; // Initialize performance metrics with zero
506 // For each starting index of batch
507 for (size_t batch_start = 0; batch_start < X.size();
508 batch_start += batch_size) {
@@ -736,7 +736,7 @@ Here is the call graph for this function:
515 // They will be averaged and applied to kernel
516 std::vector<std::vector<std::valarray<double>>> gradients;
517 gradients.resize(this->layers.size());
-
518 // First intialize gradients to zero
+
518 // First initialize gradients to zero
519 for (size_t i = 0; i < gradients.size(); i++) {
520 zeroes_initialization(
521 gradients[i], get_shape(this->layers[i].kernel));
diff --git a/dc/d93/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer.html b/dc/d93/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer.html index 16796a1a7..e53ae4c53 100644 --- a/dc/d93/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer.html +++ b/dc/d93/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer.html @@ -196,7 +196,7 @@ int neurons neuronsnumber of neurons activationactivation function for layer kernel_shapeshape of kernel - random_kernelflag for whether to intialize kernel randomly + random_kernelflag for whether to initialize kernel randomly