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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Foundations of Model Optimization and Deep Learning
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Foundations of Model Optimization and Deep Learning
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Introduction to Machine Learning
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Introduction to Machine Learning
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Data Analytics and Machine Learning for Big Data
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Data Analytics and Machine Learning for Big Data
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Attention Mechanisms and Transformer Models Course
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Attention Mechanisms and Transformer Models Course
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Natural Language Processing on Google Cloud
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Natural Language Processing on Google Cloud
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Facial Expression Recognition with PyTorch
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Facial Expression Recognition with PyTorch
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