Tebs-Lab/intro-to-deep-learning
A collection of materials to help you learn about deep learning
This collection of materials provides a structured curriculum for learning about deep neural networks and machine learning. It guides you through foundational concepts and practical applications using Jupyter Notebooks. The materials are ideal for anyone new to machine learning, from students to professionals, who want to understand how deep learning models are built and applied.
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Use this if you are getting started with machine learning and want a practical, hands-on approach to learning deep learning concepts and building models.
Not ideal if you are an experienced deep learning practitioner looking for advanced topics like Generative Adversarial Networks (GANs) or Natural Language Processing (NLP), or a comprehensive theoretical study.
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Jupyter Notebook
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Jun 27, 2024
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