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.
machinelearning
From Pixels to Paragraphs: The Hidden World of Multimodal Models
Multimodal models integrate text, images, audio, and video into unified AI systems. Learn how they work, their development process, and how they handle data storage for optimal performance.
CPU vs GPU vs TPU: Which One Do I Need?
A detailed comparison of CPUs, GPUs, and TPUs, covering their architecture, performance, and real-world applications, with example calculations to demonstrate their capabilities.
TensorFlow for Beginners: A Complete Tutorial
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 in AI: Empowering Machines to Master Human Language
Transformers power AI models like GPT-4 and BERT, enabling machines to understand and generate human-like text, transforming how we interact with technology.
How To Generate Images Using Ollama And Alternative Approaches
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.