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  2. 331. TensorFlow Outline and Comparison with Other Libraries | Skyhighes | Data Science

    331. TensorFlow Outline and Comparison with Other Libraries | Skyhighes | Data Science

    7
  5. 163. Conditional Statements and Functions | Skyhighes | Data Science

    163. Conditional Statements and Functions | Skyhighes | Data Science

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

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

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

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

    7
  9. 382. Business Case Outlining the Solution | Skyhighes | Data Science

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

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  11. 205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

    205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

    12
  12. 32. Solving Variations with Repetition | Skyhighes | Data Science

    32. Solving Variations with Repetition | Skyhighes | Data Science

    12
  13. 287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    14
  15. 144. Numbers and Boolean Values in Python | Skyhighes | Data Science

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

    11
  16. 344. Activation Functions Softmax Activation | Skyhighes | Data Science

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

    7
  18. 294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

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

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

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

    12
  23. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    2
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