Foundations

Deep Learning

Neural networks, CNNs, RNNs, transformers, diffusion models and training techniques

3,609

lessons

Skills in this topic

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Neural Network Basics

Implement a 2-layer net in NumPy and PyTorch

CNN Architectures

Build a CNN image classifier in PyTorch

Sequence Models

Implement an LSTM text generator

Generative Models

Train a GAN on image data

Training at Scale

Use FP16/BF16 mixed precision training

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Activation Functions: Why Neural Networks Need Them

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