Post Your Answer

MATLAB and R both offer capabilities for deep learning implementations, but MATLAB is often considered more suitable due to its extensive library of pre-built functions and tools specifically designed for deep learning tasks. MATLAB's Neural Network Toolbox provides comprehensive support for building, training, and deploying deep neural networks, while also offering seamless integration with other MATLAB functionalities for data preprocessing, visualization, and performance evaluation. However, the choice between MATLAB and R ultimately depends on factors such as familiarity with the programming language, specific requirements of the project, and availability of resources and support within each platform.