Deep learning is a powerful machine learning technique that allows for the creation of complex models to solve difficult problems. In this article, we will be discussing how to use dropout layers in R to improve the performance of a deep learning model for regression tasks. Dropout is a regularization technique that is used …

## Deep Learning in R | Data Science for Beginners | Tensorflow | Keras | House Price Data | Regression

Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks such as image or speech recognition, natural language processing, and predictive modeling. In this article, we will discuss how to use deep learning in R to perform regression on a housing price dataset using the Tensorflow …

Machine learning is a method of teaching computers to learn from data, without being explicitly programmed. In R, there are many libraries available for machine learning, such as caret, randomForest, and nnet. One of the most popular datasets for machine learning is the Boston house price dataset, which is available in the …