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  1. Are there alternatives to backpropagation

    Are there alternatives to backpropagation

  4. Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions (Paper Explained)

    Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions (Paper Explained)

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  5. Build Neural Networks In Python From Scratch. Step By Step!

    Build Neural Networks In Python From Scratch. Step By Step!

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  6. What is a Neural Network & Building a Text Classifier in C++ From Scratch: No Libraries

    What is a Neural Network & Building a Text Classifier in C++ From Scratch: No Libraries

    6
  7. 1990s: Neural Networks and IBM’s Deep Blue | AI Through Time [10]

    1990s: Neural Networks and IBM’s Deep Blue | AI Through Time [10]

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  8. Gradients are Not All You Need (Machine Learning Research Paper Explained)

    Gradients are Not All You Need (Machine Learning Research Paper Explained)

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  9. MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

    MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

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  10. MIT Introduction to Deep Learning | 6.S191

    MIT Introduction to Deep Learning | 6.S191

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  11. #289 Deep learning (AI)

    #289 Deep learning (AI)

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  12. #291 Neural Networks (AI)

    #291 Neural Networks (AI)

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  13. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)

    NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)

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  16. Active Dendrites avoid catastrophic forgetting - Interview with the Authors

    Active Dendrites avoid catastrophic forgetting - Interview with the Authors

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