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  1. 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

    21
  2. 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
  3. 398. An Overview of non-NN Approaches | Skyhighes | Data Science

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

    22
  7. 389. Business Case Setting an Early Stopping Mechanism | Skyhighes | Data Science

    389. Business Case Setting an Early Stopping Mechanism | Skyhighes | Data Science

    21
  8. 381. Business Case Exploring the Dataset and Identifying Predictors | Skyhighes | Data Science

    381. Business Case Exploring the Dataset and Identifying Predictors | Skyhighes | Data Science

    12
  9. 393. Summary on What You've Learned | Skyhighes | Data Science

    393. Summary on What You've Learned | Skyhighes | Data Science

    18
  11. 394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    46
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  12. 391. Business Case Testing the Model | Skyhighes | Data Science

    391. Business Case Testing the Model | Skyhighes | Data Science

    16
  13. 371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    11
  15. 374. MNIST Preprocess the Data - Shuffle and Batch | Skyhighes | Data Science

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

    10
  16. 362. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ) | Skyhighes | Data Science

    362. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ) | Skyhighes | Data Science

    24
  17. 361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    19
  18. 445. Using a Statistical Approach towards the Solution to the Exercise | Skyhighes | Data Science

    445. Using a Statistical Approach towards the Solution to the Exercise | Skyhighes | Data Science

    35
  19. 358. Problems with Gradient Descent | Skyhighes | Data Science

    358. Problems with Gradient Descent | Skyhighes | Data Science

    35
  20. 360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    33
  21. 384. Business Case Preprocessing the Data | Skyhighes | Data Science

    384. Business Case Preprocessing the Data | Skyhighes | Data Science

    17
  22. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    53
  23. 386. Business Case Load the Preprocessed Data | Skyhighes | Data Science

    386. Business Case Load the Preprocessed Data | Skyhighes | Data Science

    18
  24. 199. A3 Normality and Homoscedasticity | Skyhighes | Data Science

    199. A3 Normality and Homoscedasticity | Skyhighes | Data Science

    3