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Please note that this page does not hosts or makes available any of the listed filenames. You
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| [CourseClub.NET].url |
123B |
| [FCS Forum].url |
133B |
| [FreeCourseSite.com].url |
127B |
| 1. Batch and Stochastic Gradient Descent.mp4 |
77.24MB |
| 1. Batch and Stochastic Gradient Descent.vtt |
10.11KB |
| 1. Getting Started - How to Get Help.mp4 |
8.36MB |
| 1. Getting Started - How to Get Help.vtt |
1.55KB |
| 1. Handing Large Datasets.mp4 |
44.47MB |
| 1. Handing Large Datasets.vtt |
6.17KB |
| 1. Handwriting Recognition.mp4 |
24.70MB |
| 1. Handwriting Recognition.vtt |
3.15KB |
| 1. How K-Nearest Neighbor Works.mp4 |
93.33MB |
| 1. How K-Nearest Neighbor Works.vtt |
11.46KB |
| 1. Introducing Logistic Regression.mp4 |
23.45MB |
| 1. Introducing Logistic Regression.vtt |
3.45KB |
| 1. KNN with Regression.mp4 |
54.99MB |
| 1. KNN with Regression.vtt |
7.06KB |
| 1. Let's Get Our Bearings.mp4 |
76.62MB |
| 1. Let's Get Our Bearings.vtt |
10.83KB |
| 1. Linear Regression.mp4 |
25.39MB |
| 1. Linear Regression.vtt |
25.39MB |
| 1. Loading CSV Files.mp4 |
15.86MB |
| 1. Loading CSV Files.vtt |
2.98KB |
| 1. Multinominal Logistic Regression.mp4 |
25.00MB |
| 1. Multinominal Logistic Regression.vtt |
3.16KB |
| 1. Observing Changing Learning Rate and MSE.mp4 |
45.84MB |
| 1. Observing Changing Learning Rate and MSE.vtt |
5.93KB |
| 1. Project Overview.mp4 |
57.04MB |
| 1. Project Overview.vtt |
46.14MB |
| 1. Refactoring the Linear Regression Class.mp4 |
72.72MB |
| 1. Refactoring the Linear Regression Class.vtt |
10.23KB |
| 10. Answering Common Questions.mp4 |
40.95MB |
| 10. Answering Common Questions.vtt |
5.25KB |
| 10. Backfilling Variance.mp4 |
25.73MB |
| 10. Backfilling Variance.vtt |
25.73MB |
| 10. Creating Slices of Data.mp4 |
58.92MB |
| 10. Creating Slices of Data.vtt |
10.17KB |
| 10. Encoding Label Values.mp4 |
48.59MB |
| 10. Encoding Label Values.vtt |
6.03KB |
| 10. Gauging Accuracy.mp4 |
54.02MB |
| 10. Gauging Accuracy.vtt |
7.00KB |
| 10. More on Matrix Multiplication.mp4 |
63.25MB |
| 10. More on Matrix Multiplication.vtt |
8.24KB |
| 10. Reapplying Standardization.mp4 |
57.96MB |
| 10. Reapplying Standardization.vtt |
7.52KB |
| 10. Reporting Error Percentages.mp4 |
64.50MB |
| 10. Reporting Error Percentages.vtt |
8.22KB |
| 10. Sigmoid vs Softmax.mp4 |
62.76MB |
| 10. Sigmoid vs Softmax.vtt |
8.64KB |
| 10. Splitting Test and Training.mp4 |
75.66MB |
| 10. Splitting Test and Training.vtt |
10.45KB |
| 10. Tensorflow's Eager Memory Usage.mp4 |
46.81MB |
| 10. Tensorflow's Eager Memory Usage.vtt |
6.14KB |
| 11. Cleaning up Tensors with Tidy.mp4 |
24.27MB |
| 11. Cleaning up Tensors with Tidy.vtt |
3.86KB |
| 11. Fixing Standardization Issues.mp4 |
47.85MB |
| 11. Fixing Standardization Issues.vtt |
7.86KB |
| 11. Gradient Descent with Multiple Terms.mp4 |
44.20MB |
| 11. Gradient Descent with Multiple Terms.vtt |
6.57KB |
| 11. Matrix Form of Slope Equations.mp4 |
59.60MB |
| 11. Matrix Form of Slope Equations.vtt |
8.49KB |
| 11. Normalization or Standardization.mp4 |
92.97MB |
| 11. Normalization or Standardization.vtt |
10.30KB |
| 11. Printing a Report.mp4 |
33.30MB |
| 11. Printing a Report.vtt |
4.40KB |
| 11. Refactoring Sigmoid to Softmax.mp4 |
48.88MB |
| 11. Refactoring Sigmoid to Softmax.vtt |
6.50KB |
| 11. Tensor Concatenation.mp4 |
44.14MB |
| 11. Tensor Concatenation.vtt |
7.45KB |
| 11. Updating Linear Regression for Logistic Regression.mp4 |
70.29MB |
| 11. Updating Linear Regression for Logistic Regression.vtt |
9.80KB |
| 12. Implementing Accuracy Gauges.mp4 |
28.72MB |
| 12. Implementing Accuracy Gauges.vtt |
3.76KB |
| 12. Implementing TF Tidy.mp4 |
37.60MB |
| 12. Implementing TF Tidy.vtt |
4.77KB |
| 12. Massaging Learning Rates.mp4 |
36.44MB |
| 12. Massaging Learning Rates.vtt |
4.16KB |
| 12. Multiple Terms in Action.mp4 |
123.16MB |
| 12. Multiple Terms in Action.vtt |
123.17MB |
| 12. Numerical Standardization with Tensorflow.mp4 |
53.06MB |
| 12. Numerical Standardization with Tensorflow.vtt |
10.34KB |
| 12. Refactoring Accuracy Reporting.mp4 |
52.31MB |
| 12. Refactoring Accuracy Reporting.vtt |
6.71KB |
| 12. Simplification with Matrix Multiplication.mp4 |
90.80MB |
| 12. Simplification with Matrix Multiplication.vtt |
12.59KB |
| 12. Summing Values Along an Axis.mp4 |
41.37MB |
| 12. Summing Values Along an Axis.vtt |
7.27KB |
| 12. The Sigmoid Equation with Logistic Regression.mp4 |
32.78MB |
| 12. The Sigmoid Equation with Logistic Regression.vtt |
5.99KB |
| 13. Applying Standardization.mp4 |
41.47MB |
| 13. Applying Standardization.vtt |
41.47MB |
| 13. A Touch More Refactoring.mp4 |
87.43MB |
| 13. A Touch More Refactoring.vtt |
10.38KB |
| 13. Calculating Accuracy.mp4 |
31.31MB |
| 13. Calculating Accuracy.vtt |
4.46KB |
| 13. How it All Works Together!.mp4 |
143.82MB |
| 13. How it All Works Together!.vtt |
18.25KB |
| 13. Investigating Optimal K Values.mp4 |
129.14MB |
| 13. Investigating Optimal K Values.vtt |
15.72KB |
| 13. Massaging Dimensions with ExpandDims.mp4 |
57.02MB |
| 13. Massaging Dimensions with ExpandDims.vtt |
10.78KB |
| 13. Moving Towards Multivariate Regression.mp4 |
121.42MB |
| 13. Moving Towards Multivariate Regression.vtt |
15.95KB |
| 13. Tidying the Training Loop.mp4 |
45.99MB |
| 13. Tidying the Training Loop.vtt |
5.48KB |
| 14. Debugging Calculations.mp4 |
86.72MB |
| 14. Debugging Calculations.vtt |
11.46KB |
| 14. Gauging Classification Accuracy.mp4 |
36.71MB |
| 14. Gauging Classification Accuracy.vtt |
4.81KB |
| 14. Measuring Reduced Memory Usage.mp4 |
18.12MB |
| 14. Measuring Reduced Memory Usage.vtt |
2.19KB |
| 14. Refactoring for Multivariate Analysis.mp4 |
82.36MB |
| 14. Refactoring for Multivariate Analysis.vtt |
10.49KB |
| 14. Updating KNN for Multiple Features.mp4 |
70.62MB |
| 14. Updating KNN for Multiple Features.vtt |
9.05KB |
| 15. Implementing a Test Function.mp4 |
54.71MB |
| 15. Implementing a Test Function.vtt |
7.46KB |
| 15. Learning Rate Optimization.mp4 |
76.69MB |
| 15. Learning Rate Optimization.vtt |
11.06KB |
| 15. Multi-Dimensional KNN.mp4 |
44.21MB |
| 15. Multi-Dimensional KNN.vtt |
44.22MB |
| 15. One More Optimization.mp4 |
27.50MB |
| 15. One More Optimization.vtt |
27.50MB |
| 15. What Now.mp4 |
42.33MB |
| 15. What Now.vtt |
5.68KB |
| 16. Final Memory Report.mp4 |
36.25MB |
| 16. Final Memory Report.vtt |
3.93KB |
| 16. N-Dimension Distance.mp4 |
78.88MB |
| 16. N-Dimension Distance.vtt |
13.39KB |
| 16. Recording MSE History.mp4 |
51.95MB |
| 16. Recording MSE History.vtt |
7.11KB |
| 16. Variable Decision Boundaries.mp4 |
68.32MB |
| 16. Variable Decision Boundaries.vtt |
10.06KB |
| 17. Arbitrary Feature Spaces.mp4 |
71.26MB |
| 17. Arbitrary Feature Spaces.vtt |
11.73KB |
| 17. Mean Squared Error vs Cross Entropy.mp4 |
60.20MB |
| 17. Mean Squared Error vs Cross Entropy.vtt |
7.86KB |
| 17. Plotting Cost History.mp4 |
47.60MB |
| 17. Plotting Cost History.vtt |
5.77KB |
| 17. Updating Learning Rate.mp4 |
62.15MB |
| 17. Updating Learning Rate.vtt |
8.86KB |
| 18. Magnitude Offsets in Features.mp4 |
64.06MB |
| 18. Magnitude Offsets in Features.vtt |
7.61KB |
| 18. NaN in Cost History.mp4 |
46.37MB |
| 18. NaN in Cost History.vtt |
6.02KB |
| 18. Refactoring with Cross Entropy.mp4 |
49.46MB |
| 18. Refactoring with Cross Entropy.vtt |
7.18KB |
| 19. Feature Normalization.mp4 |
72.92MB |
| 19. Feature Normalization.vtt |
10.15KB |
| 19. Finishing the Cost Refactor.mp4 |
49.10MB |
| 19. Finishing the Cost Refactor.vtt |
5.96KB |
| 19. Fixing Cost History.mp4 |
46.78MB |
| 19. Fixing Cost History.vtt |
6.30KB |
| 2. A Change in Data Structure.mp4 |
41.35MB |
| 2. A Change in Data Structure.vtt |
41.36MB |
| 2. A Plan to Move Forward.mp4 |
48.66MB |
| 2. A Plan to Move Forward.vtt |
6.85KB |
| 2. A Smart Refactor to Multinominal Analysis.mp4 |
49.97MB |
| 2. A Smart Refactor to Multinominal Analysis.vtt |
7.26KB |
| 2. A Test Dataset.mp4 |
9.59MB |
| 2. A Test Dataset.vtt |
2.55KB |
| 2. Data Loading.mp4 |
43.49MB |
| 2. Data Loading.vtt |
6.83KB |
| 2. Greyscale Values.mp4 |
55.35MB |
| 2. Greyscale Values.vtt |
7.02KB |
| 2. Lodash Review.mp4 |
64.94MB |
| 2. Lodash Review.vtt |
64.94MB |
| 2. Logistic Regression in Action.mp4 |
61.07MB |
| 2. Logistic Regression in Action.vtt |
9.49KB |
| 2. Minimizing Memory Usage.mp4 |
38.19MB |
| 2. Minimizing Memory Usage.vtt |
6.60KB |
| 2. Plotting MSE Values.mp4 |
61.40MB |
| 2. Plotting MSE Values.vtt |
7.23KB |
| 2. Refactoring to One Equation.mp4 |
84.81MB |
| 2. Refactoring to One Equation.vtt |
12.16KB |
| 2. Refactoring Towards Batch Gradient Descent.mp4 |
55.11MB |
| 2. Refactoring Towards Batch Gradient Descent.vtt |
7.09KB |
| 2. Solving Machine Learning Problems.mp4 |
62.78MB |
| 2. Solving Machine Learning Problems.vtt |
8.19KB |
| 2. Why Linear Regression.mp4 |
50.35MB |
| 2. Why Linear Regression.vtt |
6.76KB |
| 20. Massaging Learning Parameters.mp4 |
22.56MB |
| 20. Massaging Learning Parameters.vtt |
2.44KB |
| 20. Normalization with MinMax.mp4 |
67.05MB |
| 20. Normalization with MinMax.vtt |
9.10KB |
| 20. Plotting Changing Cost History.mp4 |
42.95MB |
| 20. Plotting Changing Cost History.vtt |
4.95KB |
| 21. Applying Normalization.mp4 |
45.36MB |
| 21. Applying Normalization.vtt |
6.04KB |
| 21. Improving Model Accuracy.mp4 |
55.02MB |
| 21. Improving Model Accuracy.vtt |
5.93KB |
| 22. Feature Selection with KNN.mp4 |
80.37MB |
| 22. Feature Selection with KNN.vtt |
11.20KB |
| 23. Objective Feature Picking.mp4 |
65.98MB |
| 23. Objective Feature Picking.vtt |
8.23KB |
| 24. Evaluating Different Feature Values.mp4 |
27.97MB |
| 24. Evaluating Different Feature Values.vtt |
3.71KB |
| 3. A Complete Walkthrough.mp4 |
109.14MB |
| 3. A Complete Walkthrough.vtt |
13.34KB |
| 3. A Few More Changes.mp4 |
66.16MB |
| 3. A Few More Changes.vtt |
8.86KB |
| 3. A Smarter Refactor!.mp4 |
38.30MB |
| 3. A Smarter Refactor!.vtt |
5.24KB |
| 3. Bad Equation Fits.mp4 |
55.39MB |
| 3. Bad Equation Fits.vtt |
7.62KB |
| 3. Creating Memory Snapshots.mp4 |
49.06MB |
| 3. Creating Memory Snapshots.vtt |
7.16KB |
| 3. Default Algorithm Options.mp4 |
62.66MB |
| 3. Default Algorithm Options.vtt |
11.23KB |
| 3. Determining Batch Size and Quantity.mp4 |
66.09MB |
| 3. Determining Batch Size and Quantity.vtt |
7.84KB |
| 3. Implementing KNN.mp4 |
59.34MB |
| 3. Implementing KNN.vtt |
9.26KB |
| 3. KNN with Tensorflow.mp4 |
78.72MB |
| 3. KNN with Tensorflow.vtt |
12.97KB |
| 3. Many Features.mp4 |
44.77MB |
| 3. Many Features.vtt |
4.74KB |
| 3. Plotting MSE History against B Values.mp4 |
47.81MB |
| 3. Plotting MSE History against B Values.vtt |
6.22KB |
| 3. Reading Files from Disk.mp4 |
18.60MB |
| 3. Reading Files from Disk.vtt |
3.91KB |
| 3. Tensor Shape and Dimension.mp4 |
114.29MB |
| 3. Tensor Shape and Dimension.vtt |
16.68KB |
| 3. Understanding Gradient Descent.mp4 |
126.77MB |
| 3. Understanding Gradient Descent.vtt |
17.00KB |
| 4. App Setup.mp4 |
19.27MB |
| 4. App Setup.vtt |
3.03KB |
| 4. A Single Instance Approach.mp4 |
103.56MB |
| 4. A Single Instance Approach.vtt |
103.57MB |
| 4. Finishing KNN Implementation.mp4 |
50.28MB |
| 4. Finishing KNN Implementation.vtt |
7.72KB |
| 4. Flattening Image Data.mp4 |
57.77MB |
| 4. Flattening Image Data.vtt |
7.80KB |
| 4. Formulating the Training Loop.mp4 |
27.68MB |
| 4. Formulating the Training Loop.vtt |
4.44KB |
| 4. Guessing Coefficients with MSE.mp4 |
93.47MB |
| 4. Guessing Coefficients with MSE.vtt |
13.57KB |
| 4. Iterating Over Batches.mp4 |
67.46MB |
| 4. Iterating Over Batches.vtt |
10.56KB |
| 4. Maintaining Order Relationships.mp4 |
57.76MB |
| 4. Maintaining Order Relationships.vtt |
9.30KB |
| 4. Same Results Or Not.mp4 |
33.84MB |
| 4. Same Results Or Not.vtt |
4.80KB |
| 4. Splitting into Columns.mp4 |
20.35MB |
| 4. Splitting into Columns.vtt |
3.74KB |
| 4. Tensor Dimension and Shapes.html |
139B |
| 4. The Javascript Garbage Collector.mp4 |
55.81MB |
| 4. The Javascript Garbage Collector.vtt |
8.95KB |
| 4. The Sigmoid Equation.mp4 |
45.45MB |
| 4. The Sigmoid Equation.vtt |
6.42KB |
| 5. Calculating Model Accuracy.mp4 |
80.37MB |
| 5. Calculating Model Accuracy.vtt |
11.67KB |
| 5. Decision Boundaries.mp4 |
79.18MB |
| 5. Decision Boundaries.vtt |
10.56KB |
| 5. Dropping Trailing Columns.mp4 |
18.41MB |
| 5. Dropping Trailing Columns.vtt |
3.42KB |
| 5. Elementwise Operations.mp4 |
58.36MB |
| 5. Elementwise Operations.vtt |
10.45KB |
| 5. Encoding Label Values.mp4 |
62.01MB |
| 5. Encoding Label Values.vtt |
7.42KB |
| 5. Evaluating Batch Gradient Descent Results.mp4 |
66.24MB |
| 5. Evaluating Batch Gradient Descent Results.vtt |
7.98KB |
| 5. Initial Gradient Descent Implementation.mp4 |
87.93MB |
| 5. Initial Gradient Descent Implementation.vtt |
12.48KB |
| 5. Observations Around MSE.mp4 |
56.11MB |
| 5. Observations Around MSE.vtt |
8.19KB |
| 5. Problem Outline.mp4 |
31.22MB |
| 5. Problem Outline.vtt |
4.31KB |
| 5. Refactoring to Multi-Column Weights.mp4 |
48.50MB |
| 5. Refactoring to Multi-Column Weights.vtt |
6.69KB |
| 5. Shallow vs Retained Memory Usage.mp4 |
56.90MB |
| 5. Shallow vs Retained Memory Usage.vtt |
8.05KB |
| 5. Sorting Tensors.mp4 |
62.85MB |
| 5. Sorting Tensors.vtt |
10.64KB |
| 5. Testing the Algorithm.mp4 |
44.97MB |
| 5. Testing the Algorithm.vtt |
6.24KB |
| 6. A Problem to Test Multinominal Classification.mp4 |
48.46MB |
| 6. A Problem to Test Multinominal Classification.vtt |
6.33KB |
| 6. Averaging Top Values.mp4 |
58.13MB |
| 6. Averaging Top Values.vtt |
10.28KB |
| 6. Broadcasting Operations.mp4 |
62.06MB |
| 6. Broadcasting Operations.vtt |
9.35KB |
| 6. Calculating MSE Slopes.mp4 |
67.14MB |
| 6. Calculating MSE Slopes.vtt |
8.46KB |
| 6. Changes for Logistic Regression.mp4 |
12.50MB |
| 6. Changes for Logistic Regression.vtt |
1.76KB |
| 6. Derivatives!.mp4 |
77.96MB |
| 6. Derivatives!.vtt |
77.96MB |
| 6. Identifying Relevant Data.mp4 |
33.91MB |
| 6. Identifying Relevant Data.vtt |
5.88KB |
| 6. Implementing an Accuracy Gauge.mp4 |
79.95MB |
| 6. Implementing an Accuracy Gauge.vtt |
10.01KB |
| 6. Implementing Coefficient of Determination.mp4 |
75.79MB |
| 6. Implementing Coefficient of Determination.vtt |
10.33KB |
| 6. Interpreting Bad Results.mp4 |
40.76MB |
| 6. Interpreting Bad Results.vtt |
5.78KB |
| 6. Making Predictions with the Model.mp4 |
79.49MB |
| 6. Making Predictions with the Model.vtt |
10.48KB |
| 6. Measuring Memory Usage.mp4 |
96.64MB |
| 6. Measuring Memory Usage.vtt |
12.01KB |
| 6. Parsing Number Values.mp4 |
31.37MB |
| 6. Parsing Number Values.vtt |
4.79KB |
| 7. Broadcasting Elementwise Operations.html |
139B |
| 7. Classifying Continuous Values.mp4 |
44.56MB |
| 7. Classifying Continuous Values.vtt |
6.18KB |
| 7. Custom Value Parsing.mp4 |
36.72MB |
| 7. Custom Value Parsing.vtt |
5.75KB |
| 7. Dataset Structures.mp4 |
48.25MB |
| 7. Dataset Structures.vtt |
8.12KB |
| 7. Dealing with Bad Accuracy.mp4 |
71.42MB |
| 7. Dealing with Bad Accuracy.vtt |
10.41KB |
| 7. Gradient Descent in Action.mp4 |
115.36MB |
| 7. Gradient Descent in Action.vtt |
16.07KB |
| 7. Moving to the Editor.mp4 |
34.33MB |
| 7. Moving to the Editor.vtt |
4.66KB |
| 7. Project Setup for Logistic Regression.mp4 |
59.41MB |
| 7. Project Setup for Logistic Regression.vtt |
8.14KB |
| 7. Releasing References.mp4 |
35.98MB |
| 7. Releasing References.vtt |
4.36KB |
| 7. Test and Training Data.mp4 |
45.21MB |
| 7. Test and Training Data.vtt |
5.38KB |
| 7. Unchanging Accuracy.mp4 |
20.30MB |
| 7. Unchanging Accuracy.vtt |
2.89KB |
| 7. Updating Coefficients.mp4 |
33.86MB |
| 7. Updating Coefficients.vtt |
33.88MB |
| 8.1 regressions.zip.zip |
34.30KB |
| 8. Debugging the Calculation Process.mp4 |
89.05MB |
| 8. Debugging the Calculation Process.vtt |
11.31KB |
| 8. Extracting Data Columns.mp4 |
57.28MB |
| 8. Extracting Data Columns.vtt |
6.83KB |
| 8. Interpreting Results.mp4 |
101.71MB |
| 8. Interpreting Results.vtt |
13.60KB |
| 8. Loading CSV Data.mp4 |
89.33MB |
| 8. Loading CSV Data.vtt |
13.19KB |
| 8. Logging Tensor Data.mp4 |
26.00MB |
| 8. Logging Tensor Data.vtt |
5.50KB |
| 8. Measuring Footprint Reduction.mp4 |
43.31MB |
| 8. Measuring Footprint Reduction.vtt |
5.46KB |
| 8. Project Download.html |
215B |
| 8. Quick Breather and Review.mp4 |
65.80MB |
| 8. Quick Breather and Review.vtt |
8.05KB |
| 8. Randomizing Test Data.mp4 |
36.01MB |
| 8. Randomizing Test Data.vtt |
5.01KB |
| 8. Recording Observation Data.mp4 |
32.74MB |
| 8. Recording Observation Data.vtt |
5.34KB |
| 8. Reminder on Standardization.mp4 |
44.50MB |
| 8. Reminder on Standardization.vtt |
6.15KB |
| 8. Training a Multinominal Model.mp4 |
66.09MB |
| 8. Training a Multinominal Model.vtt |
8.62KB |
| 9. Data Processing in a Helper Method.mp4 |
37.18MB |
| 9. Data Processing in a Helper Method.vtt |
4.91KB |
| 9. Dealing with Zero Variances.mp4 |
47.91MB |
| 9. Dealing with Zero Variances.vtt |
8.78KB |
| 9. Generalizing KNN.mp4 |
39.00MB |
| 9. Generalizing KNN.vtt |
4.98KB |
| 9. Importing Vehicle Data.mp4 |
38.96MB |
| 9. Importing Vehicle Data.vtt |
5.85KB |
| 9. Marginal vs Conditional Probability.mp4 |
95.19MB |
| 9. Marginal vs Conditional Probability.vtt |
14.02KB |
| 9. Matrix Multiplication.mp4 |
67.47MB |
| 9. Matrix Multiplication.vtt |
9.91KB |
| 9. Optimization Tensorflow Memory Usage.mp4 |
18.54MB |
| 9. Optimization Tensorflow Memory Usage.vtt |
2.35KB |
| 9. Running an Analysis.mp4 |
52.50MB |
| 9. Running an Analysis.vtt |
8.16KB |
| 9. Shuffling Data via Seed Phrase.mp4 |
52.14MB |
| 9. Shuffling Data via Seed Phrase.vtt |
7.42KB |
| 9. Tensor Accessors.mp4 |
30.46MB |
| 9. Tensor Accessors.vtt |
7.48KB |
| 9. What Type of Problem.mp4 |
47.04MB |
| 9. What Type of Problem.vtt |
6.74KB |
| 9. Why a Learning Rate.mp4 |
187.28MB |
| 9. Why a Learning Rate.vtt |
22.69KB |