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 responsible […]
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 […]
Introduction In today’s world, artificial intelligence (AI) powers everything from voice assistants to self-driving cars. At the core of this revolution lies the Neural Network, a computational model inspired by the human brain. Neural networks allow machines to recognize patterns, make predictions, and learn from data in ways that were once thought to be uniquely […]
Introduction Artificial Intelligence (AI) is no longer a futuristic concept confined to science fiction. Today, it is an integral part of our daily lives, powering everything from smartphone assistants like Siri and Google Assistant to advanced systems driving autonomous vehicles and diagnosing diseases. At its core, AI refers to the simulation of human intelligence in […]
