The-AI-Summer/learn-deep-learning

AI Summer's complete catalog of articles

37
/ 100
Emerging

This collection of nearly 100 articles helps you understand and apply deep learning concepts, from foundational theories to advanced applications. It provides detailed explanations and examples for various deep learning architectures and techniques, allowing you to grasp how they work and how to implement them. This is for anyone interested in learning about artificial intelligence, especially students, researchers, or practitioners looking to deepen their knowledge in machine learning and deep learning.

112 stars. No commits in the last 6 months.

Use this if you want to learn about deep learning theory, explore specific deep learning architectures like CNNs, RNNs, or Transformers, or understand how deep learning is applied in fields like medical imaging, autonomous cars, or recommendation systems.

Not ideal if you are looking for a plug-and-play software tool or an API to integrate into an existing application without needing to understand the underlying deep learning principles.

artificial-intelligence machine-learning deep-learning-education computer-vision natural-language-processing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 20 / 25

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112

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Jupyter Notebook

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Last pushed

Dec 30, 2021

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