Linear Regression Model
Linear Regression Model A linear regression model is a statistical technique for modeling the relationship between an input variable and an output variable. It allows us to predict the output variable based on the values of the input variables. TensorFlow provides powerful tools for implementing and training linear regression models.
Characteristics Linear regression models capture linear relationships between input and output variables, providing a high level of interpretability. For example, in predicting housing prices, we can establish that as the size of a house increases, the price also tends to increase in a linear fashion.
TensorFlow Overview
Introduction TensorFlow is an open-source machine learning framework developed by Google. It provides a comprehensive set of tools and libraries for building and deploying machine learning models. TensorFlow helps developers define neural networks, train them, and perform numerical computations efficiently while handling large datasets. It supports multiple programming languages such as Python, C++, and Java, making it accessible to a wide range of developers. TensorFlow has gained popularity due to its flexibility, scalability, and extensive community support.