Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...

NEW DELHI – India’s ambition to create a new energy map is coming to light with plans for the nation to be at the centre of a cross-continent web of green power connections to South-east Asia, the ...

You’ll often hear plastic pollution referred to as a problem. But the reality is that it’s multiple problems. Depending on the properties we need, we form plastics out of different polymers, each of ...

Abstract: This study focuses on predicting building electrical energy consumption using an improved neural network algorithm. Accurate energy consumption forecasting is crucial for optimizing energy ...

Abstract: In view of the limitations of traditional image recognition algorithms in the comprehensive evaluation of building energy efficiency, a comprehensive evaluation scheme of energy conservation ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Forbes contributors publish independent expert analyses and insights. Covering education, entrepreneurship, AI, innovation, and nomad travel Young entrepreneurs are discovering that strategic personal ...

A complete, professional neural network implementation built entirely from scratch using only NumPy for MNIST digit classification. This project achieves 98.06% test accuracy with a clean, ...