ZeroDivisionError in loss function calculation
A ZeroDivisionError occurs when Python tries to divide a number by zero, which is mathematically undefined. In machine learning, this error can arise during the calculation of loss functions, such….
Tag: Loss Function
LSTMs for Time Series
Long Short-Term Memory Networks (LSTMs) for Time Series Forecasting 1. Introduction to LSTMs for Time Series Forecasting Long Short-Term Memory (LSTM) networks are a type of Recurrent Neural Network (RNN)….
Convolutional Neural Networks (CNNs)
Convolutional Neural Networks (CNNs): Detailed Explanation Convolutional Neural Networks (CNNs) are a class of deep neural networks specifically designed to work with grid-like data, such as images, audio, and video…..
Activation Functions (ReLU, Sigmoid, Tanh)
Activation Functions in Neural Networks: Detailed Explanation Activation functions play a crucial role in neural networks, enabling them to capture non-linear relationships in the data. Without activation functions, a neural….
Forward and Backpropagation
Forward and Backpropagation in Neural Networks: Detailed Explanation Forward and backward propagation are two key steps in the training process of a neural network. These steps are fundamental to how….
Introduction to Neural Networks
Introduction to Neural Networks: Detailed Explanation A Neural Network (NN) is a computational model inspired by the way biological neural networks in the human brain process information. It is a….
Anomaly Detection
Anomaly Detection – A Comprehensive Guide 1. Introduction to Anomaly Detection Anomaly Detection is the process of identifying rare or unusual patterns in data that do not conform to expected….
Hierarchical Clustering
Hierarchical Clustering: A Comprehensive Guide 1. Introduction to Hierarchical Clustering Hierarchical Clustering is an unsupervised machine learning algorithm used to group similar objects into clusters. Unlike K-Means, it does not….
Gradient Boosting (XGBoost, LightGBM, CatBoost)
Gradient Boosting (XGBoost, LightGBM, CatBoost) in Machine Learning 1. Introduction to Gradient Boosting Gradient Boosting is a powerful ensemble learning technique used in machine learning for classification and regression tasks…..
Underfitting vs Overfitting
Underfitting vs Overfitting in Machine Learning Introduction One of the biggest challenges in machine learning is building a model that can generalize well to unseen data. The two common problems….