Hardware and software are two fundamental components of a computer system that work together to perform various tasks, but they have distinct roles and characteristics: Hardware: - Hardware refers to the physical, tangible components of a computer system, such as the central processing unit (CPU), mRead more
Hardware and software are two fundamental components of a computer system that work together to perform various tasks, but they have distinct roles and characteristics:
Hardware:
– Hardware refers to the physical, tangible components of a computer system, such as the central processing unit (CPU), memory (RAM), storage devices (hard drives, SSDs), input/output devices (keyboard, mouse, monitor), and peripheral devices (printers, scanners).
– These physical components are responsible for processing data, executing instructions, storing information, and facilitating communication with users and other devices.
Software:
– Software refers to the intangible, non-physical programs and data that instruct the hardware on how to perform specific tasks. This includes operating systems, applications, utilities, and data (documents, images, videos).-
Software provides the instructions and algorithms for the hardware to execute, enabling users to perform tasks, process data, and interact with the computer system.
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A firewall is like a security guard for your computer or network, deciding which data can come in and go out to keep things safe from hackers and viruses.
All three - RNN, CNN, and ANN - are types of artificial neural networks used in deep learning, but each excels at different tasks due to their unique architectures. Here's a breakdown: Artificial Neural Network (ANN): The foundation for the others, resembling a simplified brain with interconnected lRead more
All three – RNN, CNN, and ANN – are types of artificial neural networks used in deep learning, but each excels at different tasks due to their unique architectures. Here’s a breakdown:
Artificial Neural Network (ANN):
Convolutional Neural Network (CNN):
Recurrent Neural Network (RNN):