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  2. 161. Defining a Function in Python - Part II | Skyhighes | Data Science

    161. Defining a Function in Python - Part II | Skyhighes | Data Science

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  6. 406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

    406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

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  11. 144. Numbers and Boolean Values in Python | Skyhighes | Data Science

    144. Numbers and Boolean Values in Python | Skyhighes | Data Science

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  12. 430. Business Case A Comment on the Homework | Skyhighes | Data Science

    430. Business Case A Comment on the Homework | Skyhighes | Data Science

    10
  13. 415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    7
  14. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

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  17. 33. Solving Variations without Repetition | Skyhighes | Data Science

    33. Solving Variations without Repetition | Skyhighes | Data Science

    14
  18. 297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    20
  20. 294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    14
  23. 421. Business Case Outlining the Solution | Skyhighes | Data Science

    421. Business Case Outlining the Solution | Skyhighes | Data Science

    13
  24. 306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    17
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