The Wi-Fi access points can be best compared to switches in wired networks?
Wi-Fi access points and switches are both essential components in computer networks, but they serve different purposes and operate at different layers of the network architecture. While they share some similarities, it is important to understand their distinct functionalities and how they contribute to the overall network infrastructure. A switch is a networking device that
- Published in Cybersecurity, EITC/IS/CNF Computer Networking Fundamentals, Physical networks, Cabling devices
Is classful networking still relevant?
Classful networking, also known as class-based networking, was a method used in the early days of computer networking to allocate IP addresses. However, with the introduction of classless inter-domain routing (CIDR) and the depletion of IPv4 addresses, classful networking has become less relevant in modern network architectures. In classful networking, IP addresses were divided into
- Published in Cybersecurity, EITC/IS/CNF Computer Networking Fundamentals, Internet protocols, Introduction to IP addresses
Why is it important to monitor the shape of the input data at different stages during training a CNN?
Monitoring the shape of the input data at different stages during training a Convolutional Neural Network (CNN) is of utmost importance for several reasons. It allows us to ensure that the data is being processed correctly, helps in diagnosing potential issues, and aids in making informed decisions to improve the performance of the network. In
How do the choice of optimization algorithm and network architecture impact the performance of a deep learning model?
The performance of a deep learning model is influenced by various factors, including the choice of optimization algorithm and network architecture. These two components play a important role in determining the model's ability to learn and generalize from the data. In this answer, we will consider the impact of optimization algorithms and network architectures on
What are some hyperparameters that we can experiment with to achieve higher accuracy in our model?
To achieve higher accuracy in our machine learning model, there are several hyperparameters that we can experiment with. Hyperparameters are adjustable parameters that are set before the learning process begins. They control the behavior of the learning algorithm and have a significant impact on the performance of the model. One important hyperparameter to consider is