Foundations

Deep Learning

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

2,917
lessons
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Neural Network Basics
beginner
Implement a 2-layer net in NumPy and PyTorch
CNN Architectures
intermediate
Build a CNN image classifier in PyTorch
Sequence Models
intermediate
Implement an LSTM text generator
Generative Models
advanced
Train a GAN on image data
Training at Scale
advanced
Use FP16/BF16 mixed precision training
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Classification Trees in Python, From Start To Finish
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Classification Trees in Python, From Start To Finish
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Feature Engineering en Español
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Feature Engineering en Español
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Custom Models, Layers, and Loss Functions with TensorFlow
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Custom Models, Layers, and Loss Functions with TensorFlow
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Facial Expression Recognition with PyTorch
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Facial Expression Recognition with PyTorch
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Feature Engineering en Français
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Feature Engineering en Français
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Introduction to Long Short Term Memory (LSTM) Training
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Introduction to Long Short Term Memory (LSTM) Training
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