Software Tech. Accelerator Blog
In earlier blogs, we explored the basic structure of neural networks. Now, let’s deep dive into how these concepts are implemented mathematically. The fundamental of neural network’s implementation is the field of linear algebra. Let’s break this down step by step. Layers of a Neural Network A neural network consists of multiple layers, each […]
Introduction Activation functions are most important function in neural networks. These functions find out whether a neuron should be “activated” or not based on the input signals it receives, ie. Whether the neuron should fire or not. This process is very crucial for introducing non-linearity into the network, which allows it to learn and model […]
Neural Network Neural networks, or artificial neural networks, are a crucial aspect of machine learning that straight connects it to the broader field of AI. These networks are essentially computational systems, consisting of code written in programming languages—either high-level or low-level—and can be embedded in hardware such as chip systems. Neural networks can be executed […]
Artificial Intelligence (AI), ability of machines or computer systems to perform tasks that typically require human intelligence. When computers are capable to perform human actions—such as learning, problem-solving, decision-making, or recognizing patterns—we describe this as AI, which is intelligence confirmed by an artificial system rather than a human being. An AI system can perform tasks […]