[FreeCourseLab.com] Udemy - Machine Learning with Javascript

1. What is Machine Learning/1. Getting Started - How to Get Help.mp4

8.35 MB

1. What is Machine Learning/1. Getting Started - How to Get Help.vtt

1.55 KB

1. What is Machine Learning/2. Solving Machine Learning Problems.mp4

62.77 MB

1. What is Machine Learning/2. Solving Machine Learning Problems.vtt

8.19 KB

1. What is Machine Learning/3. A Complete Walkthrough.mp4

109.13 MB

1. What is Machine Learning/3. A Complete Walkthrough.vtt

13.34 KB

1. What is Machine Learning/4. App Setup.mp4

19.27 MB

1. What is Machine Learning/4. App Setup.vtt

3.03 KB

1. What is Machine Learning/5. Problem Outline.mp4

31.21 MB

1. What is Machine Learning/5. Problem Outline.vtt

4.31 KB

1. What is Machine Learning/6. Identifying Relevant Data.mp4

33.91 MB

1. What is Machine Learning/6. Identifying Relevant Data.vtt

5.88 KB

1. What is Machine Learning/7. Dataset Structures.mp4

48.25 MB

1. What is Machine Learning/7. Dataset Structures.vtt

8.12 KB

1. What is Machine Learning/8. Recording Observation Data.mp4

32.74 MB

1. What is Machine Learning/8. Recording Observation Data.vtt

5.34 KB

1. What is Machine Learning/9. What Type of Problem.mp4

47.03 MB

1. What is Machine Learning/9. What Type of Problem.vtt

6.74 KB

10. Natural Binary Classification/1. Introducing Logistic Regression.mp4

23.45 MB

10. Natural Binary Classification/1. Introducing Logistic Regression.vtt

3.45 KB

10. Natural Binary Classification/10. Encoding Label Values.mp4

48.58 MB

10. Natural Binary Classification/10. Encoding Label Values.vtt

6.03 KB

10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.mp4

70.3 MB

10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.vtt

9.8 KB

10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.mp4

32.78 MB

10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.vtt

5.99 KB

10. Natural Binary Classification/13. A Touch More Refactoring.mp4

87.42 MB

10. Natural Binary Classification/13. A Touch More Refactoring.vtt

10.38 KB

10. Natural Binary Classification/14. Gauging Classification Accuracy.mp4

36.7 MB

10. Natural Binary Classification/14. Gauging Classification Accuracy.vtt

4.81 KB

10. Natural Binary Classification/15. Implementing a Test Function.mp4

54.71 MB

10. Natural Binary Classification/15. Implementing a Test Function.vtt

7.46 KB

10. Natural Binary Classification/16. Variable Decision Boundaries.mp4

68.32 MB

10. Natural Binary Classification/16. Variable Decision Boundaries.vtt

10.06 KB

10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.mp4

60.2 MB

10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.vtt

7.86 KB

10. Natural Binary Classification/18. Refactoring with Cross Entropy.mp4

49.45 MB

10. Natural Binary Classification/18. Refactoring with Cross Entropy.vtt

7.18 KB

10. Natural Binary Classification/19. Finishing the Cost Refactor.mp4

49.09 MB

10. Natural Binary Classification/19. Finishing the Cost Refactor.vtt

5.96 KB

10. Natural Binary Classification/2. Logistic Regression in Action.mp4

61.07 MB

10. Natural Binary Classification/2. Logistic Regression in Action.vtt

9.49 KB

10. Natural Binary Classification/20. Plotting Changing Cost History.mp4

42.95 MB

10. Natural Binary Classification/20. Plotting Changing Cost History.vtt

4.95 KB

10. Natural Binary Classification/3. Bad Equation Fits.mp4

55.4 MB

10. Natural Binary Classification/3. Bad Equation Fits.vtt

7.62 KB

10. Natural Binary Classification/4. The Sigmoid Equation.mp4

45.44 MB

10. Natural Binary Classification/4. The Sigmoid Equation.vtt

6.42 KB

10. Natural Binary Classification/5. Decision Boundaries.mp4

79.18 MB

10. Natural Binary Classification/5. Decision Boundaries.vtt

10.56 KB

10. Natural Binary Classification/6. Changes for Logistic Regression.mp4

12.49 MB

10. Natural Binary Classification/6. Changes for Logistic Regression.vtt

1.76 KB

10. Natural Binary Classification/7. Project Setup for Logistic Regression.mp4

59.4 MB

10. Natural Binary Classification/7. Project Setup for Logistic Regression.vtt

8.14 KB

10. Natural Binary Classification/8. Project Download.html

215 B

10. Natural Binary Classification/8.1 regressions.zip.zip

34.3 KB

10. Natural Binary Classification/9. Importing Vehicle Data.mp4

38.95 MB

10. Natural Binary Classification/9. Importing Vehicle Data.vtt

5.85 KB

11. Multi-Value Classification/1. Multinominal Logistic Regression.mp4

25 MB

11. Multi-Value Classification/1. Multinominal Logistic Regression.vtt

3.16 KB

11. Multi-Value Classification/10. Sigmoid vs Softmax.mp4

62.75 MB

11. Multi-Value Classification/10. Sigmoid vs Softmax.vtt

8.64 KB

11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.mp4

48.87 MB

11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.vtt

6.5 KB

11. Multi-Value Classification/12. Implementing Accuracy Gauges.mp4

28.71 MB

11. Multi-Value Classification/12. Implementing Accuracy Gauges.vtt

3.76 KB

11. Multi-Value Classification/13. Calculating Accuracy.mp4

31.3 MB

11. Multi-Value Classification/13. Calculating Accuracy.vtt

4.46 KB

11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.mp4

49.97 MB

11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.vtt

7.26 KB

11. Multi-Value Classification/3. A Smarter Refactor!.mp4

38.29 MB

11. Multi-Value Classification/3. A Smarter Refactor!.vtt

5.24 KB

11. Multi-Value Classification/4. A Single Instance Approach.mp4

103.56 MB

11. Multi-Value Classification/4. A Single Instance Approach.vtt

13.46 KB

11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.mp4

48.49 MB

11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.vtt

6.69 KB

11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.mp4

48.45 MB

11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.vtt

6.33 KB

11. Multi-Value Classification/7. Classifying Continuous Values.mp4

44.55 MB

11. Multi-Value Classification/7. Classifying Continuous Values.vtt

6.18 KB

11. Multi-Value Classification/8. Training a Multinominal Model.mp4

66.09 MB

11. Multi-Value Classification/8. Training a Multinominal Model.vtt

8.62 KB

11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4

95.18 MB

11. Multi-Value Classification/9. Marginal vs Conditional Probability.vtt

14.02 KB

12. Image Recognition In Action/1. Handwriting Recognition.mp4

24.69 MB

12. Image Recognition In Action/1. Handwriting Recognition.vtt

3.15 KB

12. Image Recognition In Action/10. Backfilling Variance.mp4

25.72 MB

12. Image Recognition In Action/10. Backfilling Variance.vtt

3.57 KB

12. Image Recognition In Action/2. Greyscale Values.mp4

55.35 MB

12. Image Recognition In Action/2. Greyscale Values.vtt

7.02 KB

12. Image Recognition In Action/3. Many Features.mp4

44.76 MB

12. Image Recognition In Action/3. Many Features.vtt

4.74 KB

12. Image Recognition In Action/4. Flattening Image Data.mp4

57.76 MB

12. Image Recognition In Action/4. Flattening Image Data.vtt

7.8 KB

12. Image Recognition In Action/5. Encoding Label Values.mp4

62 MB

12. Image Recognition In Action/5. Encoding Label Values.vtt

7.42 KB

12. Image Recognition In Action/6. Implementing an Accuracy Gauge.mp4

79.94 MB

12. Image Recognition In Action/6. Implementing an Accuracy Gauge.vtt

10.01 KB

12. Image Recognition In Action/7. Unchanging Accuracy.mp4

20.3 MB

12. Image Recognition In Action/7. Unchanging Accuracy.vtt

2.89 KB

12. Image Recognition In Action/8. Debugging the Calculation Process.mp4

89.05 MB

12. Image Recognition In Action/8. Debugging the Calculation Process.vtt

11.31 KB

12. Image Recognition In Action/9. Dealing with Zero Variances.mp4

47.9 MB

12. Image Recognition In Action/9. Dealing with Zero Variances.vtt

8.78 KB

13. Performance Optimization/1. Handing Large Datasets.mp4

44.46 MB

13. Performance Optimization/1. Handing Large Datasets.vtt

6.17 KB

13. Performance Optimization/10. Tensorflow's Eager Memory Usage.mp4

46.81 MB

13. Performance Optimization/10. Tensorflow's Eager Memory Usage.vtt

6.14 KB

13. Performance Optimization/11. Cleaning up Tensors with Tidy.mp4

24.26 MB

13. Performance Optimization/11. Cleaning up Tensors with Tidy.vtt

3.86 KB

13. Performance Optimization/12. Implementing TF Tidy.mp4

37.6 MB

13. Performance Optimization/12. Implementing TF Tidy.vtt

4.77 KB

13. Performance Optimization/13. Tidying the Training Loop.mp4

45.99 MB

13. Performance Optimization/13. Tidying the Training Loop.vtt

5.48 KB

13. Performance Optimization/14. Measuring Reduced Memory Usage.mp4

18.11 MB

13. Performance Optimization/14. Measuring Reduced Memory Usage.vtt

2.19 KB

13. Performance Optimization/15. One More Optimization.mp4

27.5 MB

13. Performance Optimization/15. One More Optimization.vtt

3.31 KB

13. Performance Optimization/16. Final Memory Report.mp4

36.25 MB

13. Performance Optimization/16. Final Memory Report.vtt

3.93 KB

13. Performance Optimization/17. Plotting Cost History.mp4

47.6 MB

13. Performance Optimization/17. Plotting Cost History.vtt

5.77 KB

13. Performance Optimization/18. NaN in Cost History.mp4

46.38 MB

13. Performance Optimization/18. NaN in Cost History.vtt

6.02 KB

13. Performance Optimization/19. Fixing Cost History.mp4

46.77 MB

13. Performance Optimization/19. Fixing Cost History.vtt

6.3 KB

13. Performance Optimization/2. Minimizing Memory Usage.mp4

38.19 MB

13. Performance Optimization/2. Minimizing Memory Usage.vtt

6.6 KB

13. Performance Optimization/20. Massaging Learning Parameters.mp4

22.55 MB

13. Performance Optimization/20. Massaging Learning Parameters.vtt

2.44 KB

13. Performance Optimization/21. Improving Model Accuracy.mp4

55.02 MB

13. Performance Optimization/21. Improving Model Accuracy.vtt

5.93 KB

13. Performance Optimization/3. Creating Memory Snapshots.mp4

49.06 MB

13. Performance Optimization/3. Creating Memory Snapshots.vtt

7.16 KB

13. Performance Optimization/4. The Javascript Garbage Collector.mp4

55.8 MB

13. Performance Optimization/4. The Javascript Garbage Collector.vtt

8.95 KB

13. Performance Optimization/5. Shallow vs Retained Memory Usage.mp4

56.89 MB

13. Performance Optimization/5. Shallow vs Retained Memory Usage.vtt

8.05 KB

13. Performance Optimization/6. Measuring Memory Usage.mp4

96.63 MB

13. Performance Optimization/6. Measuring Memory Usage.vtt

12.01 KB

13. Performance Optimization/7. Releasing References.mp4

35.98 MB

13. Performance Optimization/7. Releasing References.vtt

4.36 KB

13. Performance Optimization/8. Measuring Footprint Reduction.mp4

43.31 MB

13. Performance Optimization/8. Measuring Footprint Reduction.vtt

5.46 KB

13. Performance Optimization/9. Optimization Tensorflow Memory Usage.mp4

18.54 MB

13. Performance Optimization/9. Optimization Tensorflow Memory Usage.vtt

2.35 KB

14. Appendix Custom CSV Loader/1. Loading CSV Files.mp4

15.86 MB

14. Appendix Custom CSV Loader/1. Loading CSV Files.vtt

2.98 KB

14. Appendix Custom CSV Loader/10. Splitting Test and Training.mp4

75.65 MB

14. Appendix Custom CSV Loader/10. Splitting Test and Training.vtt

10.45 KB

14. Appendix Custom CSV Loader/2. A Test Dataset.mp4

9.58 MB

14. Appendix Custom CSV Loader/2. A Test Dataset.vtt

2.55 KB

14. Appendix Custom CSV Loader/3. Reading Files from Disk.mp4

18.6 MB

14. Appendix Custom CSV Loader/3. Reading Files from Disk.vtt

3.91 KB

14. Appendix Custom CSV Loader/4. Splitting into Columns.mp4

20.34 MB

14. Appendix Custom CSV Loader/4. Splitting into Columns.vtt

3.74 KB

14. Appendix Custom CSV Loader/5. Dropping Trailing Columns.mp4

18.4 MB

14. Appendix Custom CSV Loader/5. Dropping Trailing Columns.vtt

3.42 KB

14. Appendix Custom CSV Loader/6. Parsing Number Values.mp4

31.36 MB

14. Appendix Custom CSV Loader/6. Parsing Number Values.vtt

4.79 KB

14. Appendix Custom CSV Loader/7. Custom Value Parsing.mp4

36.73 MB

14. Appendix Custom CSV Loader/7. Custom Value Parsing.vtt

5.75 KB

14. Appendix Custom CSV Loader/8. Extracting Data Columns.mp4

57.27 MB

14. Appendix Custom CSV Loader/8. Extracting Data Columns.vtt

6.83 KB

14. Appendix Custom CSV Loader/9. Shuffling Data via Seed Phrase.mp4

52.14 MB

14. Appendix Custom CSV Loader/9. Shuffling Data via Seed Phrase.vtt

7.42 KB

2. Algorithm Overview/1. How K-Nearest Neighbor Works.mp4

93.33 MB

2. Algorithm Overview/1. How K-Nearest Neighbor Works.vtt

11.46 KB

2. Algorithm Overview/10. Gauging Accuracy.mp4

54.02 MB

2. Algorithm Overview/10. Gauging Accuracy.vtt

7 KB

2. Algorithm Overview/11. Printing a Report.mp4

33.3 MB

2. Algorithm Overview/11. Printing a Report.vtt

4.4 KB

2. Algorithm Overview/12. Refactoring Accuracy Reporting.mp4

52.3 MB

2. Algorithm Overview/12. Refactoring Accuracy Reporting.vtt

6.71 KB

2. Algorithm Overview/13. Investigating Optimal K Values.mp4

129.14 MB

2. Algorithm Overview/13. Investigating Optimal K Values.vtt

15.72 KB

2. Algorithm Overview/14. Updating KNN for Multiple Features.mp4

70.61 MB

2. Algorithm Overview/14. Updating KNN for Multiple Features.vtt

9.05 KB

2. Algorithm Overview/15. Multi-Dimensional KNN.mp4

44.2 MB

2. Algorithm Overview/15. Multi-Dimensional KNN.vtt

5.53 KB

2. Algorithm Overview/16. N-Dimension Distance.mp4

78.87 MB

2. Algorithm Overview/16. N-Dimension Distance.vtt

13.39 KB

2. Algorithm Overview/17. Arbitrary Feature Spaces.mp4

71.25 MB

2. Algorithm Overview/17. Arbitrary Feature Spaces.vtt

11.73 KB

2. Algorithm Overview/18. Magnitude Offsets in Features.mp4

64.06 MB

2. Algorithm Overview/18. Magnitude Offsets in Features.vtt

7.61 KB

2. Algorithm Overview/19. Feature Normalization.mp4

72.92 MB

2. Algorithm Overview/19. Feature Normalization.vtt

10.15 KB

2. Algorithm Overview/2. Lodash Review.mp4

64.93 MB

2. Algorithm Overview/2. Lodash Review.vtt

13.41 KB

2. Algorithm Overview/20. Normalization with MinMax.mp4

67.04 MB

2. Algorithm Overview/20. Normalization with MinMax.vtt

9.1 KB

2. Algorithm Overview/21. Applying Normalization.mp4

45.35 MB

2. Algorithm Overview/21. Applying Normalization.vtt

6.04 KB

2. Algorithm Overview/22. Feature Selection with KNN.mp4

80.37 MB

2. Algorithm Overview/22. Feature Selection with KNN.vtt

11.2 KB

2. Algorithm Overview/23. Objective Feature Picking.mp4

65.97 MB

2. Algorithm Overview/23. Objective Feature Picking.vtt

8.23 KB

2. Algorithm Overview/24. Evaluating Different Feature Values.mp4

27.97 MB

2. Algorithm Overview/24. Evaluating Different Feature Values.vtt

3.71 KB

2. Algorithm Overview/3. Implementing KNN.mp4

59.34 MB

2. Algorithm Overview/3. Implementing KNN.vtt

9.26 KB

2. Algorithm Overview/4. Finishing KNN Implementation.mp4

50.28 MB

2. Algorithm Overview/4. Finishing KNN Implementation.vtt

7.72 KB

2. Algorithm Overview/5. Testing the Algorithm.mp4

44.97 MB

2. Algorithm Overview/5. Testing the Algorithm.vtt

6.24 KB

2. Algorithm Overview/6. Interpreting Bad Results.mp4

40.75 MB

2. Algorithm Overview/6. Interpreting Bad Results.vtt

5.78 KB

2. Algorithm Overview/7. Test and Training Data.mp4

45.2 MB

2. Algorithm Overview/7. Test and Training Data.vtt

5.38 KB

2. Algorithm Overview/8. Randomizing Test Data.mp4

36.01 MB

2. Algorithm Overview/8. Randomizing Test Data.vtt

5.01 KB

2. Algorithm Overview/9. Generalizing KNN.mp4

39 MB

2. Algorithm Overview/9. Generalizing KNN.vtt

4.98 KB

3. Onwards to Tensorflow JS!/1. Let's Get Our Bearings.mp4

76.62 MB

3. Onwards to Tensorflow JS!/1. Let's Get Our Bearings.vtt

10.83 KB

3. Onwards to Tensorflow JS!/10. Creating Slices of Data.mp4

58.91 MB

3. Onwards to Tensorflow JS!/10. Creating Slices of Data.vtt

10.17 KB

3. Onwards to Tensorflow JS!/11. Tensor Concatenation.mp4

44.13 MB

3. Onwards to Tensorflow JS!/11. Tensor Concatenation.vtt

7.45 KB

3. Onwards to Tensorflow JS!/12. Summing Values Along an Axis.mp4

41.36 MB

3. Onwards to Tensorflow JS!/12. Summing Values Along an Axis.vtt

7.27 KB

3. Onwards to Tensorflow JS!/13. Massaging Dimensions with ExpandDims.mp4

57.02 MB

3. Onwards to Tensorflow JS!/13. Massaging Dimensions with ExpandDims.vtt

10.78 KB

3. Onwards to Tensorflow JS!/2. A Plan to Move Forward.mp4

48.65 MB

3. Onwards to Tensorflow JS!/2. A Plan to Move Forward.vtt

42.02 MB

3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.mp4

114.28 MB

3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.vtt

16.68 KB

3. Onwards to Tensorflow JS!/4. Tensor Dimension and Shapes.html

139 B

3. Onwards to Tensorflow JS!/5. Elementwise Operations.mp4

58.36 MB

3. Onwards to Tensorflow JS!/5. Elementwise Operations.vtt

10.45 KB

3. Onwards to Tensorflow JS!/6. Broadcasting Operations.mp4

62.06 MB

3. Onwards to Tensorflow JS!/6. Broadcasting Operations.vtt

9.35 KB

3. Onwards to Tensorflow JS!/7. Broadcasting Elementwise Operations.html

139 B

3. Onwards to Tensorflow JS!/8. Logging Tensor Data.mp4

26 MB

3. Onwards to Tensorflow JS!/8. Logging Tensor Data.vtt

5.5 KB

3. Onwards to Tensorflow JS!/9. Tensor Accessors.mp4

30.47 MB

3. Onwards to Tensorflow JS!/9. Tensor Accessors.vtt

7.48 KB

4. Applications of Tensorflow/1. KNN with Regression.mp4

54.99 MB

4. Applications of Tensorflow/1. KNN with Regression.vtt

7.06 KB

4. Applications of Tensorflow/10. Reporting Error Percentages.mp4

64.5 MB

4. Applications of Tensorflow/10. Reporting Error Percentages.vtt

8.22 KB

4. Applications of Tensorflow/11. Normalization or Standardization.mp4

92.98 MB

4. Applications of Tensorflow/11. Normalization or Standardization.vtt

10.3 KB

4. Applications of Tensorflow/12. Numerical Standardization with Tensorflow.mp4

53.05 MB

4. Applications of Tensorflow/12. Numerical Standardization with Tensorflow.vtt

10.34 KB

4. Applications of Tensorflow/13. Applying Standardization.mp4

41.46 MB

4. Applications of Tensorflow/13. Applying Standardization.vtt

5.42 KB

4. Applications of Tensorflow/14. Debugging Calculations.mp4

86.71 MB

4. Applications of Tensorflow/14. Debugging Calculations.vtt

11.46 KB

4. Applications of Tensorflow/15. What Now.mp4

42.33 MB

4. Applications of Tensorflow/15. What Now.vtt

5.68 KB

4. Applications of Tensorflow/2. A Change in Data Structure.mp4

41.35 MB

4. Applications of Tensorflow/2. A Change in Data Structure.vtt

5.76 KB

4. Applications of Tensorflow/3. KNN with Tensorflow.mp4

78.71 MB

4. Applications of Tensorflow/3. KNN with Tensorflow.vtt

12.97 KB

4. Applications of Tensorflow/4. Maintaining Order Relationships.mp4

57.75 MB

4. Applications of Tensorflow/4. Maintaining Order Relationships.vtt

9.3 KB

4. Applications of Tensorflow/5. Sorting Tensors.mp4

62.85 MB

4. Applications of Tensorflow/5. Sorting Tensors.vtt

10.64 KB

4. Applications of Tensorflow/6. Averaging Top Values.mp4

58.13 MB

4. Applications of Tensorflow/6. Averaging Top Values.vtt

10.28 KB

4. Applications of Tensorflow/7. Moving to the Editor.mp4

34.34 MB

4. Applications of Tensorflow/7. Moving to the Editor.vtt

4.66 KB

4. Applications of Tensorflow/8. Loading CSV Data.mp4

89.33 MB

4. Applications of Tensorflow/8. Loading CSV Data.vtt

13.19 KB

4. Applications of Tensorflow/9. Running an Analysis.mp4

52.5 MB

4. Applications of Tensorflow/9. Running an Analysis.vtt

8.16 KB

5. Getting Started with Gradient Descent/1. Linear Regression.mp4

25.38 MB

5. Getting Started with Gradient Descent/1. Linear Regression.vtt

3.96 KB

5. Getting Started with Gradient Descent/10. Answering Common Questions.mp4

40.94 MB

5. Getting Started with Gradient Descent/10. Answering Common Questions.vtt

5.25 KB

5. Getting Started with Gradient Descent/11. Gradient Descent with Multiple Terms.mp4

44.2 MB

5. Getting Started with Gradient Descent/11. Gradient Descent with Multiple Terms.vtt

6.57 KB

5. Getting Started with Gradient Descent/12. Multiple Terms in Action.mp4

123.16 MB

5. Getting Started with Gradient Descent/12. Multiple Terms in Action.vtt

14.43 KB

5. Getting Started with Gradient Descent/2. Why Linear Regression.mp4

50.34 MB

5. Getting Started with Gradient Descent/2. Why Linear Regression.vtt

6.76 KB

5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.mp4

126.77 MB

5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.vtt

17 KB

5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.mp4

93.47 MB

5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.vtt

13.57 KB

5. Getting Started with Gradient Descent/5. Observations Around MSE.mp4

56.12 MB

5. Getting Started with Gradient Descent/5. Observations Around MSE.vtt

8.19 KB

5. Getting Started with Gradient Descent/6. Derivatives!.mp4

77.95 MB

5. Getting Started with Gradient Descent/6. Derivatives!.vtt

9.59 KB

5. Getting Started with Gradient Descent/7. Gradient Descent in Action.mp4

115.36 MB

5. Getting Started with Gradient Descent/7. Gradient Descent in Action.vtt

16.07 KB

5. Getting Started with Gradient Descent/8. Quick Breather and Review.mp4

65.79 MB

5. Getting Started with Gradient Descent/8. Quick Breather and Review.vtt

8.05 KB

5. Getting Started with Gradient Descent/9. Why a Learning Rate.mp4

187.28 MB

5. Getting Started with Gradient Descent/9. Why a Learning Rate.vtt

22.69 KB

6. Gradient Descent with Tensorflow/1. Project Overview.mp4

57.05 MB

6. Gradient Descent with Tensorflow/1. Project Overview.vtt

8.35 KB

6. Gradient Descent with Tensorflow/10. More on Matrix Multiplication.mp4

63.25 MB

6. Gradient Descent with Tensorflow/10. More on Matrix Multiplication.vtt

8.24 KB

6. Gradient Descent with Tensorflow/11. Matrix Form of Slope Equations.mp4

59.61 MB

6. Gradient Descent with Tensorflow/11. Matrix Form of Slope Equations.vtt

8.49 KB

6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.mp4

90.79 MB

6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.vtt

12.59 KB

6. Gradient Descent with Tensorflow/13. How it All Works Together!.mp4

143.82 MB

6. Gradient Descent with Tensorflow/13. How it All Works Together!.vtt

18.25 KB

6. Gradient Descent with Tensorflow/2. Data Loading.mp4

43.49 MB

6. Gradient Descent with Tensorflow/2. Data Loading.vtt

6.83 KB

6. Gradient Descent with Tensorflow/3. Default Algorithm Options.mp4

62.66 MB

6. Gradient Descent with Tensorflow/3. Default Algorithm Options.vtt

62.68 MB

6. Gradient Descent with Tensorflow/4. Formulating the Training Loop.mp4

27.68 MB

6. Gradient Descent with Tensorflow/4. Formulating the Training Loop.vtt

4.44 KB

6. Gradient Descent with Tensorflow/5. Initial Gradient Descent Implementation.mp4

87.93 MB

6. Gradient Descent with Tensorflow/5. Initial Gradient Descent Implementation.vtt

12.48 KB

6. Gradient Descent with Tensorflow/6. Calculating MSE Slopes.mp4

67.14 MB

6. Gradient Descent with Tensorflow/6. Calculating MSE Slopes.vtt

8.46 KB

6. Gradient Descent with Tensorflow/7. Updating Coefficients.mp4

33.86 MB

6. Gradient Descent with Tensorflow/7. Updating Coefficients.vtt

4.4 KB

6. Gradient Descent with Tensorflow/8. Interpreting Results.mp4

101.72 MB

6. Gradient Descent with Tensorflow/8. Interpreting Results.vtt

13.6 KB

6. Gradient Descent with Tensorflow/9. Matrix Multiplication.mp4

67.46 MB

6. Gradient Descent with Tensorflow/9. Matrix Multiplication.vtt

9.91 KB

7. Increasing Performance with Vectorized Solutions/1. Refactoring the Linear Regression Class.mp4

72.71 MB

7. Increasing Performance with Vectorized Solutions/1. Refactoring the Linear Regression Class.vtt

10.23 KB

7. Increasing Performance with Vectorized Solutions/10. Reapplying Standardization.mp4

57.96 MB

7. Increasing Performance with Vectorized Solutions/10. Reapplying Standardization.vtt

7.52 KB

7. Increasing Performance with Vectorized Solutions/11. Fixing Standardization Issues.mp4

47.84 MB

7. Increasing Performance with Vectorized Solutions/11. Fixing Standardization Issues.vtt

7.86 KB

7. Increasing Performance with Vectorized Solutions/12. Massaging Learning Rates.mp4

36.45 MB

7. Increasing Performance with Vectorized Solutions/12. Massaging Learning Rates.vtt

4.16 KB

7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.mp4

121.42 MB

7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.vtt

15.95 KB

7. Increasing Performance with Vectorized Solutions/14. Refactoring for Multivariate Analysis.mp4

82.36 MB

7. Increasing Performance with Vectorized Solutions/14. Refactoring for Multivariate Analysis.vtt

10.49 KB

7. Increasing Performance with Vectorized Solutions/15. Learning Rate Optimization.mp4

76.69 MB

7. Increasing Performance with Vectorized Solutions/15. Learning Rate Optimization.vtt

11.06 KB

7. Increasing Performance with Vectorized Solutions/16. Recording MSE History.mp4

51.95 MB

7. Increasing Performance with Vectorized Solutions/16. Recording MSE History.vtt

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7. Increasing Performance with Vectorized Solutions/17. Updating Learning Rate.mp4

62.15 MB

7. Increasing Performance with Vectorized Solutions/17. Updating Learning Rate.vtt

8.86 KB

7. Increasing Performance with Vectorized Solutions/2. Refactoring to One Equation.mp4

84.8 MB

7. Increasing Performance with Vectorized Solutions/2. Refactoring to One Equation.vtt

12.16 KB

7. Increasing Performance with Vectorized Solutions/3. A Few More Changes.mp4

66.17 MB

7. Increasing Performance with Vectorized Solutions/3. A Few More Changes.vtt

8.86 KB

7. Increasing Performance with Vectorized Solutions/4. Same Results Or Not.mp4

33.83 MB

7. Increasing Performance with Vectorized Solutions/4. Same Results Or Not.vtt

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7. Increasing Performance with Vectorized Solutions/5. Calculating Model Accuracy.mp4

80.37 MB

7. Increasing Performance with Vectorized Solutions/5. Calculating Model Accuracy.vtt

11.67 KB

7. Increasing Performance with Vectorized Solutions/6. Implementing Coefficient of Determination.mp4

75.79 MB

7. Increasing Performance with Vectorized Solutions/6. Implementing Coefficient of Determination.vtt

10.33 KB

7. Increasing Performance with Vectorized Solutions/7. Dealing with Bad Accuracy.mp4

71.41 MB

7. Increasing Performance with Vectorized Solutions/7. Dealing with Bad Accuracy.vtt

10.41 KB

7. Increasing Performance with Vectorized Solutions/8. Reminder on Standardization.mp4

44.49 MB

7. Increasing Performance with Vectorized Solutions/8. Reminder on Standardization.vtt

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7. Increasing Performance with Vectorized Solutions/9. Data Processing in a Helper Method.mp4

37.17 MB

7. Increasing Performance with Vectorized Solutions/9. Data Processing in a Helper Method.vtt

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8. Plotting Data with Javascript/1. Observing Changing Learning Rate and MSE.mp4

45.83 MB

8. Plotting Data with Javascript/1. Observing Changing Learning Rate and MSE.vtt

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8. Plotting Data with Javascript/2. Plotting MSE Values.mp4

61.4 MB

8. Plotting Data with Javascript/2. Plotting MSE Values.vtt

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8. Plotting Data with Javascript/3. Plotting MSE History against B Values.mp4

47.81 MB

8. Plotting Data with Javascript/3. Plotting MSE History against B Values.vtt

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9. Gradient Descent Alterations/1. Batch and Stochastic Gradient Descent.mp4

77.24 MB

9. Gradient Descent Alterations/1. Batch and Stochastic Gradient Descent.vtt

10.11 KB

9. Gradient Descent Alterations/2. Refactoring Towards Batch Gradient Descent.mp4

55.11 MB

9. Gradient Descent Alterations/2. Refactoring Towards Batch Gradient Descent.vtt

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9. Gradient Descent Alterations/3. Determining Batch Size and Quantity.mp4

66.09 MB

9. Gradient Descent Alterations/3. Determining Batch Size and Quantity.vtt

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9. Gradient Descent Alterations/4. Iterating Over Batches.mp4

67.45 MB

9. Gradient Descent Alterations/4. Iterating Over Batches.vtt

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9. Gradient Descent Alterations/5. Evaluating Batch Gradient Descent Results.mp4

66.23 MB

9. Gradient Descent Alterations/5. Evaluating Batch Gradient Descent Results.vtt

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9. Gradient Descent Alterations/6. Making Predictions with the Model.mp4

79.5 MB

9. Gradient Descent Alterations/6. Making Predictions with the Model.vtt

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[FreeCourseLab.com].url

126 B

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