Deep Learning
Explore neural networks, computer vision, natural language processing, transformers, and large language models from core concepts to practical deep learning applications.
Latest
GPT and Large Language Models: How They Think and Create
Explore the architecture, training, and capabilities of large language models – how they generate text and what limits them.
Training Your First Neural Network with PyTorch
Hands-on tutorial to build and train neural networks using PyTorch – from tensor operations to custom models and training loops.
NLP with Transformers: The Architecture Behind Modern AI
Understand attention mechanisms, the transformer architecture, BERT, and GPT that power ChatGPT, Claude, and modern NLP systems.
CNNs Explained: How Deep Learning Sees and Understands Images
Deep dive into convolutional neural networks – convolution layers, pooling, feature maps, and applications in image classification and detection.