Best of Deep Learning — March 2024

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   Article

   Community Picks·2y

   AI for Beginners

   Explore Microsoft's 12-week, 24-lesson curriculum on Artificial Intelligence. Learn about different AI approaches, neural networks and deep learning, and other AI techniques.

   60

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   Article

   Pointer·2y

   jafioti/luminal: Deep learning at the speed of light.

   Luminal is a deep learning library that achieves high performance using composable compilers. It supports running models on Macs and Nvidia GPUs, and aims to become the fastest ML framework for any model on any device.

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   Article

   Machine Learning News·2y

   Top Ten Python Libraries for Machine Learning and Deep Learning in 2024

   Top ten Python libraries for machine learning and deep learning in 2024, including TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, JAX, FastAI, Hugging Face Transformers, and OpenCV.

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   Article

   Community Picks·2y

   Batch Normalization

   Batch Normalization is a technique used to improve the training of deep neural networks by addressing issues such as internal covariate shift. It offers benefits such as improved optimization, regularization, reduced sensitivity to initialization, and the ability to train deeper networks.

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   Article

   KDnuggets·2y

   Master Data Science in a Year: The Ultimate Guide to Affordable, Self-Paced Learning

   Learn data science through affordable and self-paced online courses. Complete courses in data analytics, data science, machine learning, and deep learning. Build practical skills and create a portfolio of data projects.

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   Article

   Medium·2y

   Teaching Data Science

   The Teaching Data Science repository is an open-source collection of LaTeX course notes covering topics such as Python, Machine Learning, Deep Learning, and Natural Language Processing. It aims to make data science accessible to everyone and encourages collaboration and contributions. The repository provides Beamer slides, course notes PDFs, and code examples for hands-on practice. Users need to have LaTeX installed to use the repository, and contributions are actively sought after.

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