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  1. 405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    31
  2. 398. An Overview of non-NN Approaches | Skyhighes | Data Science

    398. An Overview of non-NN Approaches | Skyhighes | Data Science

    22
  6. 374. MNIST Preprocess the Data - Shuffle and Batch | Skyhighes | Data Science

    374. MNIST Preprocess the Data - Shuffle and Batch | Skyhighes | Data Science

    10
  7. 358. Problems with Gradient Descent | Skyhighes | Data Science

    358. Problems with Gradient Descent | Skyhighes | Data Science

    35
  8. 46. The Conditional Probability Formula | Skyhighes | Data Science

    46. The Conditional Probability Formula | Skyhighes | Data Science

    14
  10. 224. Practical Example Linear Regression (Part 1) | Skyhighes | Data Science

    224. Practical Example Linear Regression (Part 1) | Skyhighes | Data Science

    8
  14. 164. Functions Containing a Few Arguments | Skyhighes | Data Science

    164. Functions Containing a Few Arguments | Skyhighes | Data Science

    9
  15. 163. Conditional Statements and Functions | Skyhighes | Data Science

    163. Conditional Statements and Functions | Skyhighes | Data Science

    13
  16. 162. How to Use a Function within a Function | Skyhighes | Data Science

    162. How to Use a Function within a Function | Skyhighes | Data Science

    10
  17. 161. Defining a Function in Python - Part II | Skyhighes | Data Science

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

    10
  18. 160. How to Create a Function with a Parameter | Skyhighes | Data Science

    160. How to Create a Function with a Parameter | Skyhighes | Data Science

    8
  25. 202. Dealing with Categorical Data - Dummy Variables | Skyhighes | Data Science

    202. Dealing with Categorical Data - Dummy Variables | Skyhighes | Data Science

    8