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Make your next connection.
Pick up the thread. One section at a time.
The whole course, untrained
41 lessons, one node each
Each node is a lesson. Master one and it lights up; as you learn, signals travel through what you know.
Modules
8 of 10 published-
From Machine Learning to Deep Learning
What changes when models learn representations from raw data?
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PyTorch: Building Neural Networks
How do I actually build a deep learning model?
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Training Dynamics & Optimization
Why does a network learn well, badly, or not at all?
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Deep Learning Engineering
How do I run deep learning experiments professionally?
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Learning Representations from Images and Text
How do neural networks learn useful representations from different types of data?
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Transformers and Attention Mechanisms
How does a Transformer process information and learn relationships between elements in a sequence?
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Pretrained Models and the Hugging Face Ecosystem
How can AI engineers leverage models that have already learned useful representations?
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Efficient Fine-Tuning and Data Engineering
How can we adapt pretrained models efficiently and evaluate whether adaptation is worthwhile?