Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Deep Learning with Yacine on MSN

RMSProp Optimization from Scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...
Fast tech programs are those kinds of learning initiatives which are very much accelerated and designed to give the learners of different fields the needed skil ...
The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...
Taylor Stanberry, a Naples native, won the 2025 Florida Python Challenge, removing 60 Burmese pythons. The annual competition aims to control the invasive python population in Florida. This is the ...
Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.