NeuromatchAcademy/course-content-dl
An annual deep learning course teaching CNNs, RNNs, transformers, and reinforcement learning through interactive Jupyter Notebooks and an ebook.
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The Neuromatch Academy Deep Learning course provides hands-on, code-first instruction in deep learning theories, models, and applications. It covers convolutional neural networks, recurrent neural networks, transformers, and reinforcement learning algorithms, with emphasis on how neuroscience concepts can inspire deep learning approaches. Content is delivered via Jupyter Notebooks and structured daily schedules, accessible through their ebook at deeplearning.neuromatch.io.
Frequently asked
- What is NeuromatchAcademy/course-content-dl?
- An annual deep learning course teaching CNNs, RNNs, transformers, and reinforcement learning through interactive Jupyter Notebooks and an ebook.
- Is course-content-dl open source?
- Yes — NeuromatchAcademy/course-content-dl is open source, released under the CC-BY-4.0 license.
- What language is course-content-dl written in?
- NeuromatchAcademy/course-content-dl is primarily written in Jupyter Notebook.
- How popular is course-content-dl?
- NeuromatchAcademy/course-content-dl has 811 stars on GitHub.
- Where can I find course-content-dl?
- NeuromatchAcademy/course-content-dl is on GitHub at https://github.com/NeuromatchAcademy/course-content-dl.