The Art of Building a Neural Network from Scratch – A Practical Guide
Step-by-step guide to building a neural network from scratch using Python and NumPy, with forward propagation, backpropagation, and training examples.
Step-by-step guide to building a neural network from scratch using Python and NumPy, with forward propagation, backpropagation, and training examples.
A detailed comparison of CPUs, GPUs, and TPUs, covering their architecture, performance, and real-world applications, with example calculations to demonstrate their capabilities.
Learn TensorFlow from scratch with this beginner-friendly guide. Build, train, and evaluate a neural network using the MNIST dataset with step-by-step examples.
Transformers power AI models like GPT-4 and BERT, enabling machines to understand and generate human-like text, transforming how we interact with technology.
Learn how to integrate AI-driven image generation into your workflow with Ollama, Stable Diffusion, ComfyUI, and DALL·E. This guide covers setup, benefits, and real-world applications of these powerful tools.