The general deep-learning core: MLPs, backpropagation, PyTorch, the regularization/normalization toolkit, and the CNN, RNN, and Transformer architectures.
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Fundamentals
Neural Networks
8hintermediate
Fundamentals
Backpropagation
5hintermediate
Fundamentals
PyTorch
7hintermediate
Training Deep Nets
Regularization
4hintermediate
Training Deep Nets
Normalization & Initialization
3h 40mintermediate
Architectures
Convolutional Neural Networks
9hintermediate
Architectures
RNNs & Sequence Models
5hintermediate
Architectures
Attention & Transformers
8hadvanced
Architectures
Transfer Learning
4hintermediate
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