Master the core concepts of Deep Learning, including neural networks, transformers, and model architectures with interactive, in-depth visualizations.
Course Modules
Training Deep Networks
Master the art of training deep neural networks. Learn backpropagation, modern optimizers like Adam, and stabilization techniques like Batch Normalization today
Computer Vision
Master Computer Vision with PyTorch. Learn CNNs, ResNet, Transfer Learning, and Object Detection through interactive visualizations and code to build solutions.
Sequence Models
Learn about Sequence Models with interactive visualizations and explanations. Master RNNs, LSTMs, GRUs, and Attention mechanisms for modern application today.
Transformers
Master the Transformer architecture and Self-Attention with interactive visualizations. Learn the core principles, encoder-decoder models, and pre-training.