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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Deep-Dive into Tensorflow Activation Functions
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Deep-Dive into Tensorflow Activation Functions
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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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Analyze and Apply Deep Learning for Computer Vision
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Analyze and Apply Deep Learning for Computer Vision
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Microsoft Azure Machine Learning for Data Scientists
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Microsoft Azure Machine Learning for Data Scientists
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Natural Language Processing in TensorFlow
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Natural Language Processing in TensorFlow
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The History and Relevance of the Rise of Generative AI
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The History and Relevance of the Rise of Generative AI
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