Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
CPUs and GPUs are old news. These days, the cutting edge is all about NPUs, and hardware manufacturers are talking up NPU performance. The NPU is a computer component designed to accelerate AI tasks ...
The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...
The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...
Hot on the heels of apparent confirmation of a monstrous 32 GB RTX 5090 GPU from Nvidia comes news that the world's most valuable company might be plotting a major AI-enhanced upgrade that brings ...
Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...
Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...