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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
F56AD7B56CD1F8D8B57448DC482A09D53C8D768C
Source
Unverified
Total Size
1.44 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4105.79 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.vtt8.82 KB
1. Welcome! Course introduction/2. What does the course cover.mp416.36 MB
1. Welcome! Course introduction/2. What does the course cover.vtt5.47 KB
1. Welcome! Course introduction/3. What does the course cover - Quiz.html161 B
10. Gradient descent and learning rates/1. Stochastic gradient descent.mp49.38 MB
10. Gradient descent and learning rates/1. Stochastic gradient descent.vtt4.23 KB
10. Gradient descent and learning rates/2. Gradient descent pitfalls.mp44.31 MB
10. Gradient descent and learning rates/2. Gradient descent pitfalls.vtt2.5 KB
10. Gradient descent and learning rates/3. Momentum.mp46.11 MB
10. Gradient descent and learning rates/3. Momentum.vtt3.1 KB
10. Gradient descent and learning rates/4. Learning rate schedules.mp410.3 MB
10. Gradient descent and learning rates/4. Learning rate schedules.vtt5.25 KB
10. Gradient descent and learning rates/5. Learning rate schedules. A picture.mp43.15 MB
10. Gradient descent and learning rates/5. Learning rate schedules. A picture.vtt1.9 KB
10. Gradient descent and learning rates/6. Adaptive learning rate schedules.mp48.86 MB
10. Gradient descent and learning rates/6. Adaptive learning rate schedules.vtt4.57 KB
10. Gradient descent and learning rates/7. Adaptive moment estimation.mp47.78 MB
10. Gradient descent and learning rates/7. Adaptive moment estimation.vtt2.93 KB
11. Preprocessing/1. Preprocessing introduction.mp48.42 MB
11. Preprocessing/1. Preprocessing introduction.vtt3.38 KB
11. Preprocessing/2. Basic preprocessing.mp43.65 MB
11. Preprocessing/2. Basic preprocessing.vtt1.48 KB
11. Preprocessing/3. Standardization.mp48.33 MB
11. Preprocessing/3. Standardization.vtt5.29 KB
11. Preprocessing/4. Dealing with categorical data.mp46.08 MB
11. Preprocessing/4. Dealing with categorical data.vtt2.44 KB
11. Preprocessing/5. One-hot and binary encoding.mp46.24 MB
11. Preprocessing/5. One-hot and binary encoding.vtt4.15 KB
12. The MNIST example/1. The dataset.mp47.37 MB
12. The MNIST example/1. The dataset.vtt3.06 KB
12. The MNIST example/10. MNIST - exercises.html2.29 KB
12. The MNIST example/10.1 MNIST_Exercises_All.html144 B
12. The MNIST example/11. MNIST - solutions.html2.21 KB
12. The MNIST example/11.1 MNIST_Depth_Solution.html150 B
12. The MNIST example/11.10 MNIST_Learning_rate_Part_1_Solution.html165 B
12. The MNIST example/11.11 TensorFlow_MNIST_Activation_functions_Part_1_Solution.html172 B
12. The MNIST example/11.2 MNIST_take_note_of_time_Solution.html162 B
12. The MNIST example/11.3 Width_and_Depth_Solution.html160 B
12. The MNIST example/11.4 MNIST_Learning_rate_Part_2_Solution.html165 B
12. The MNIST example/11.5 MNIST_around_98_percent_accuracy_solution.html157 B
12. The MNIST example/11.6 MNIST_Batch_size_Part_2_Solution.html162 B
12. The MNIST example/11.7 MNIST_Width_Solution.html150 B
12. The MNIST example/11.8 MNIST_Batch_size_Part_1_Solution.html162 B
12. The MNIST example/11.9 MNIST_Activation_functions_Part_2_Solution.html172 B
12. The MNIST example/2. How to tackle the MNIST.mp47.3 MB
12. The MNIST example/2. How to tackle the MNIST.vtt3.18 KB
12. The MNIST example/3. Importing the relevant packages.mp45.46 MB
12. The MNIST example/3. Importing the relevant packages.vtt1.91 KB
12. The MNIST example/3.1 TensorFlow_MNIST_with_comments_Part_1.html159 B
12. The MNIST example/4. Outlining the model.mp418.37 MB
12. The MNIST example/4. Outlining the model.vtt7.84 KB
12. The MNIST example/4.1 TensorFlow_MNIST_with_comments_Part_2.html159 B
12. The MNIST example/5. Declaring the loss and the optimization algorithm.mp47.14 MB
12. The MNIST example/5. Declaring the loss and the optimization algorithm.vtt3.12 KB
12. The MNIST example/5.1 TensorFlow_MNIST_with_comments_Part_3.html159 B
12. The MNIST example/6. Accuracy of prediction.mp412.38 MB
12. The MNIST example/6. Accuracy of prediction.vtt4.56 KB
12. The MNIST example/6.1 TensorFlow_MNIST_with_comments_Part_4.html159 B
12. The MNIST example/7. Batching and early stopping.mp44.58 MB
12. The MNIST example/7. Batching and early stopping.vtt2.47 KB
12. The MNIST example/7.1 TensorFlow_MNIST_with_comments_Part_5.html159 B
12. The MNIST example/8. Learning.mp415.9 MB
12. The MNIST example/8. Learning.vtt8.92 KB
12. The MNIST example/8.1 TensorFlow_MNIST_with_comments_Part_6.html159 B
12. The MNIST example/9. Discuss the results and test.mp421.97 MB
12. The MNIST example/9. Discuss the results and test.vtt7.22 KB
12. The MNIST example/9.1 TensorFlow_MNIST_with_comments.html152 B
13. Business case/1. Exploring the dataset and identifying predictors.mp423.26 MB
13. Business case/1. Exploring the dataset and identifying predictors.vtt9.43 KB
13. Business case/1.1 Audiobooks_data.csv.csv710.77 KB
13. Business case/10. Testing the model.mp44.29 MB
13. Business case/10. Testing the model.vtt2.32 KB
13. Business case/11. A comment on the homework.mp413.01 MB
13. Business case/11. A comment on the homework.vtt4.63 KB
13. Business case/11.1 Homework exercise.html134 B
13. Business case/12. Final exercise.html441 B
13. Business case/12.1 Homework exercise.html134 B
13. Business case/2. Outlining the business case solution.mp43.84 MB
13. Business case/2. Outlining the business case solution.vtt2.24 KB
13. Business case/3. Balancing the dataset.mp413.81 MB
13. Business case/3. Balancing the dataset.vtt3.86 KB
13. Business case/4. Preprocessing the data.mp434.33 MB
13. Business case/4. Preprocessing the data.vtt11.75 KB
13. Business case/4.1 Preprocessing.html134 B
13. Business case/5. Preprocessing exercise.html394 B
13. Business case/5.1 Preprocessing exercise.html134 B
13. Business case/6. Create a class for batching.mp427.65 MB
13. Business case/6. Create a class for batching.vtt6.86 KB
13. Business case/6.1 Class.html134 B
13. Business case/7. Outlining the model.mp419.46 MB
13. Business case/7. Outlining the model.vtt6.05 KB
13. Business case/7.1 Outlining the model.html134 B
13. Business case/8. Optimizing the algorithm.mp412.22 MB
13. Business case/8. Optimizing the algorithm.vtt5.74 KB
13. Business case/8.1 Optimizing the algorithm.html134 B
13. Business case/9. Interpreting the result.mp45.35 MB
13. Business case/9. Interpreting the result.vtt2.58 KB
13. Business case/9.1 Interpreting the result.html134 B
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp433.59 MB

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