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.
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.
Discover how to create, fine-tune, and deploy powerful LLMs with customized Retrieval-Augmented Generation (RAG) using Ollama. Learn best practices, optimize performance, and integrate RAG for accurate, domain-specific responses.
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.