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  1. Machine Learning Basics - Lesson 1 | Explaining DOE and Gradient Descent | Podcast Style

    Machine Learning Basics - Lesson 1 | Explaining DOE and Gradient Descent | Podcast Style

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  2. 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)

    9
  3. 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
  4. ActInf MathStream 012.1 ~ ELBOing Stein: Variational Bayes with Stein Mixture Inference, Ola Rønning

    ActInf MathStream 012.1 ~ ELBOing Stein: Variational Bayes with Stein Mixture Inference, Ola Rønning

    6
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  5. Improving Generalization Performance by Switching from Adam to SGD

    Improving Generalization Performance by Switching from Adam to SGD

    7
  6. Gradient descent algorithm won't converge

    Gradient descent algorithm won't converge