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Deep Learning Basics
Foundations of deep learning — neural networks, backpropagation, CNNs, RNNs, transformers, and attention.
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01
Neural Networks Fundamentals
This lesson covers the basics of neural networks, including feedforward networks, deep learning, and gradients. We'll al...
02
Backpropagation & Gradient Descent
This lesson covers the basics of backpropagation and gradient descent, two key techniques used in modern AI systems to o...
03
Convolutional Neural Networks
This lesson covers the basics of Convolutional Neural Networks (CNNs), a type of neural network that's particularly effe...
04
Transformers & Attention
This lesson covers the Transformer architecture and its attention mechanism, which allows models to focus on relevant pa...