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

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

    9
  3. #291 Neural Networks (AI)

    #291 Neural Networks (AI)

    31
  4. #289 Deep learning (AI)

    #289 Deep learning (AI)

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  5. Neural Networks and Deep Learning Explained: Layers, Learning, and Top Tools (TensorFlow & PyTorch)

    Neural Networks and Deep Learning Explained: Layers, Learning, and Top Tools (TensorFlow & PyTorch)

    6
  7. MIT Introduction to Deep Learning | 6.S191

    MIT Introduction to Deep Learning | 6.S191

    26
  8. 1990s: Neural Networks and IBM’s Deep Blue | AI Through Time [10]

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

    8
  9. Artificial Intelligence | What is AI | Introduction to Artificial Intelligence

    Artificial Intelligence | What is AI | Introduction to Artificial Intelligence

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

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

    25
  12. Build Neural Networks In Python From Scratch. Step By Step!

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

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  13. How AI Can Predict Your Future!

    How AI Can Predict Your Future!

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  14. 4. Backpropagation Through Time / Machine learning / Deep Learning /

    4. Backpropagation Through Time / Machine learning / Deep Learning /

  15. Artificial intelligence course #NeuralNetworks, #DeepLearning, #AIInnovation,

    Artificial intelligence course #NeuralNetworks, #DeepLearning, #AIInnovation,

  16. 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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  17. Are there alternatives to backpropagation

    Are there alternatives to backpropagation