Machine-Learning-Tokyo/DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
This provides learning materials, code examples, and presentation slides for understanding deep learning concepts, specifically convolutional neural networks (CNNs). It takes complex CNN architectures and breaks them down, showing how various kernels apply to images. This resource is for students, researchers, or anyone new to deep learning who wants to grasp the fundamentals of CNNs and their practical implementation.
938 stars. No commits in the last 6 months.
Use this if you are learning about deep learning and want to understand how convolutional neural networks work, from basic operations to complex architectures.
Not ideal if you are an experienced deep learning practitioner looking for advanced research or production-ready codebases.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Dec 20, 2023
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