AI & Machine Learning

Explore the latest advancements and practical applications

Image Classification with CNNs

Learn how to build and train a Convolutional Neural Network (CNN) for image classification tasks using PyTorch.

PyTorch Computer Vision CNN Image Classification

Natural Language Processing with RNNs

Discover how to implement Recurrent Neural Networks (RNNs) for sentiment analysis and text generation.

PyTorch NLP RNN Sentiment Analysis Text Generation

Object Detection with YOLO

Implement the YOLO (You Only Look Once) algorithm for real-time object detection.

PyTorch Computer Vision Object Detection YOLO

Generative Adversarial Networks (GANs)

Explore the fundamentals of GANs and create realistic synthetic data.

PyTorch GAN Generative Models Deep Learning

Reinforcement Learning with Deep Q-Networks

Build a simple game AI using Deep Q-Networks (DQN) in PyTorch.

PyTorch Reinforcement Learning DQN Game AI

Transfer Learning with Pre-trained Models

Leverage pre-trained models like ResNet and VGG for improved performance on new tasks.

PyTorch Transfer Learning Computer Vision Pre-trained Models