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computing-gradients

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DSD-resilience / Tensor_Flow_Modeling

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This is a structured showcase of practical knowledge and proficiency in working with Tensors and TensorFlow. It includes step-by-step code examples, explanations, and exercises that explore key TensorFlow functionalities — such as tensor creation, operations, broadcasting, reshaping, gradients, and basic neural network modeling.

broadcasting indexing gpu-acceleration dimensionality-reduction slicing custom-training-loop tensor-creation tensor-math-operations computing-gradients
  • Updated Dec 17, 2025

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