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refactor: fix typo in neural_network.cpp (#2689)

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intialize -> initialize

Co-authored-by: realstealthninja <68815218+realstealthninja@users.noreply.github.com>
This commit is contained in:
Ikko Eltociear Ashimine
2024-08-31 13:05:55 +09:00
committed by GitHub
parent c84c7da30f
commit 1d692227dc
1 changed files with 4 additions and 4 deletions
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8
machine_learning/neural_network.cpp
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@@ -136,7 +136,7 @@ class DenseLayer {
* @param neurons number of neurons
* @param activation activation function for layer
* @param kernel_shape shape of kernel
* @param random_kernel flag for whether to intialize kernel randomly
* @param random_kernel flag for whether to initialize kernel randomly
*/
DenseLayer(const int &neurons, const std::string &activation,
const std::pair<size_t, size_t> &kernel_shape,
@@ -502,7 +502,7 @@ class NeuralNetwork {
auto start =
std::chrono::high_resolution_clock::now(); // Start clock
double loss = 0,
acc = 0; // Intialize performance metrics with zero
acc = 0; // Initialize performance metrics with zero
// For each starting index of batch
for (size_t batch_start = 0; batch_start < X.size();
batch_start += batch_size) {
@@ -515,7 +515,7 @@ class NeuralNetwork {
// They will be averaged and applied to kernel
std::vector<std::vector<std::valarray<double>>> gradients;
gradients.resize(this->layers.size());
// First intialize gradients to zero
// First initialize gradients to zero
for (size_t i = 0; i < gradients.size(); i++) {
zeroes_initialization(
gradients[i], get_shape(this->layers[i].kernel));
@@ -606,7 +606,7 @@ class NeuralNetwork {
void evaluate(const std::vector<std::vector<std::valarray<double>>> &X,
const std::vector<std::vector<std::valarray<double>>> &Y) {
std::cout << "INFO: Evaluation Started" << std::endl;
double acc = 0, loss = 0; // intialize performance metrics with zero
double acc = 0, loss = 0; // initialize performance metrics with zero
for (size_t i = 0; i < X.size(); i++) { // For every sample in input
// Get predictions
std::vector<std::valarray<double>> pred =