Mastering One-Shot Learning with Siamese Networks and Triplet Loss
Learn how Siamese Networks enable one-shot learning by comparing similarities, even with limited data. Build your own model today.
How to Quantize Neural Networks for Fast, Efficient Edge AI Deployment
Learn how to shrink and speed up AI models using quantization techniques for real-time performance on edge devices.
Build Real-Time Object Detection System with YOLOv8 OpenCV Python Complete Tutorial 2024
Learn to build a real-time object detection system with YOLOv8 and OpenCV in Python. Step-by-step tutorial covering setup, training, and optimization.
How to Shrink and Speed Up Deep Learning Models with PyTorch Quantization
Learn how to reduce model size and boost inference speed using dynamic, static, and QAT quantization in PyTorch.
Build Vision Transformers from Scratch: Complete PyTorch Guide for Modern Image Classification 2024
Learn to build Vision Transformers from scratch in PyTorch. Complete guide covers ViT implementation, training techniques, and deployment for modern image classification.
How to Build a Custom Text Classifier with BERT and PyTorch: Complete Fine-tuning Tutorial
Learn to build a custom text classifier with BERT and PyTorch. Complete guide covering fine-tuning, preprocessing, training optimization, and deployment for NLP tasks.
How to Build a Sound Classification System with Deep Learning and Python
Learn how to preprocess audio, create spectrograms, train CNNs, and deploy a sound classification model using Python.
From Sentiment Labels to Explanations: Building Interpretable NLP Models with Attention
Learn how to move beyond basic sentiment classification using sequence-to-sequence models with attention in PyTorch.
How to Build a Transformer-Based English-to-German Translator with PyTorch
Learn how to create a powerful sequence-to-sequence translation model using Transformers, PyTorch, and real-world datasets.
Building Attention and Multi-Head Attention from Scratch with PyTorch
Learn how attention mechanisms work and build multi-head attention step-by-step using PyTorch in this hands-on guide.
How to Build a Stable GAN: From Noisy Outputs to Realistic Images
Learn how to build and train a reliable GAN using WGAN-GP, avoid mode collapse, and generate high-quality images step by step.
How to Build a Production-Ready Named Entity Recognition (NER) System
Learn to build a fast, accurate, and scalable NER system using transformers, spaCy, and FastAPI for real-world applications.
Build Real-Time Object Detection System with YOLOv8 and OpenCV in Python Complete Tutorial
Learn how to build a real-time object detection system using YOLOv8 and OpenCV in Python. Complete tutorial with code examples, custom training, and deployment tips.