Educational
Transfer Learning and Fine-Tuning Pretrained Models

Transfer Learning and Fine-Tuning Pretrained Models

In the fast-moving world of artificial intelligence, transfer learning and fine-tuning pretrained models are reshaping the way machines learn and adapt. Instead of starting every AI model from scratch, researchers and developers now rely on pretrained models that...

Generative Adversarial Networks (GANs): How They Work

Generative Adversarial Networks (GANs): How They Work

Generative Adversarial Networks, or GANs for short, represent one of the most fascinating breakthroughs in artificial intelligence in recent years. These powerful generative AI systems have revolutionized how computers create realistic content, from images to music....

Building Neural Networks from Scratch

Building Neural Networks from Scratch

Building neural networks from scratch through forward pass, backward pass, and weight updates provides one of the best pathways to understanding artificial intelligence at a deeper level. Whether you choose NumPy or PyTorch, each step plays a critical role in helping...

Loss Functions Explained: From MSE to Cross-Entropy

Loss Functions Explained: From MSE to Cross-Entropy

Loss functions are essential to the success of machine learning and artificial intelligence models. Without proper loss functions, AI models cannot improve or learn from their mistakes. Whether working with regression tasks or classification problems, choosing the...