[DesireCourse.Net] Udemy - Master Deep Learning with TensorFlow in Python

• [DesireCourse.Net] Udemy - Master Deep Learning with TensorFlow in Python
• 1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 105.8 MB
• 1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.vtt 8.8 KB
• 1. Welcome! Course introduction/2. What does the course cover.mp4 16.4 MB
• 1. Welcome! Course introduction/2. What does the course cover.vtt 5.5 KB
• 1. Welcome! Course introduction/3. What does the course cover - Quiz.html 161 B
• 10. Gradient descent and learning rates/1. Stochastic gradient descent.mp4 9.4 MB
• 10. Gradient descent and learning rates/1. Stochastic gradient descent.vtt 4.2 KB
• 10. Gradient descent and learning rates/2. Gradient descent pitfalls.mp4 4.3 MB
• 10. Gradient descent and learning rates/2. Gradient descent pitfalls.vtt 2.5 KB
• 10. Gradient descent and learning rates/3. Momentum.mp4 6.1 MB
• 10. Gradient descent and learning rates/3. Momentum.vtt 3.1 KB
• 10. Gradient descent and learning rates/4. Learning rate schedules.mp4 10.3 MB
• 10. Gradient descent and learning rates/4. Learning rate schedules.vtt 5.3 KB
• 10. Gradient descent and learning rates/5. Learning rate schedules. A picture.mp4 3.1 MB
• 10. Gradient descent and learning rates/5. Learning rate schedules. A picture.vtt 1.9 KB
• 10. Gradient descent and learning rates/6. Adaptive learning rate schedules.mp4 8.9 MB
• 10. Gradient descent and learning rates/6. Adaptive learning rate schedules.vtt 4.6 KB
• 10. Gradient descent and learning rates/7. Adaptive moment estimation.mp4 7.8 MB
• 10. Gradient descent and learning rates/7. Adaptive moment estimation.vtt 2.9 KB
• 11. Preprocessing/1. Preprocessing introduction.mp4 8.4 MB
• 11. Preprocessing/1. Preprocessing introduction.vtt 3.4 KB
• 11. Preprocessing/2. Basic preprocessing.mp4 3.7 MB
• 11. Preprocessing/2. Basic preprocessing.vtt 1.5 KB
• 11. Preprocessing/3. Standardization.mp4 8.3 MB
• 11. Preprocessing/3. Standardization.vtt 5.3 KB
• 11. Preprocessing/4. Dealing with categorical data.mp4 6.1 MB
• 11. Preprocessing/4. Dealing with categorical data.vtt 2.4 KB
• 11. Preprocessing/5. One-hot and binary encoding.mp4 6.2 MB
• 11. Preprocessing/5. One-hot and binary encoding.vtt 4.2 KB
• 12. The MNIST example/1. The dataset.mp4 7.4 MB
• 12. The MNIST example/1. The dataset.vtt 3.1 KB
• 12. The MNIST example/10. MNIST - exercises.html 2.3 KB
• 12. The MNIST example/10.1 MNIST_Exercises_All.html 144 B
• 12. The MNIST example/11. MNIST - solutions.html 2.2 KB
• 12. The MNIST example/11.1 MNIST_Depth_Solution.html 150 B
• 12. The MNIST example/11.10 MNIST_Learning_rate_Part_1_Solution.html 165 B
• 12. The MNIST example/11.11 TensorFlow_MNIST_Activation_functions_Part_1_Solution.html 172 B
• 12. The MNIST example/11.2 MNIST_take_note_of_time_Solution.html 162 B
• 12. The MNIST example/11.3 Width_and_Depth_Solution.html 160 B
• 12. The MNIST example/11.4 MNIST_Learning_rate_Part_2_Solution.html 165 B
• 12. The MNIST example/11.5 MNIST_around_98_percent_accuracy_solution.html 157 B
• 12. The MNIST example/11.6 MNIST_Batch_size_Part_2_Solution.html 162 B
• 12. The MNIST example/11.7 MNIST_Width_Solution.html 150 B
• 12. The MNIST example/11.8 MNIST_Batch_size_Part_1_Solution.html 162 B
• 12. The MNIST example/11.9 MNIST_Activation_functions_Part_2_Solution.html 172 B
• 12. The MNIST example/2. How to tackle the MNIST.mp4 7.3 MB
• 12. The MNIST example/2. How to tackle the MNIST.vtt 3.2 KB
• 12. The MNIST example/3. Importing the relevant packages.mp4 5.5 MB
• 12. The MNIST example/3. Importing the relevant packages.vtt 1.9 KB
• 12. The MNIST example/3.1 TensorFlow_MNIST_with_comments_Part_1.html 159 B
• 12. The MNIST example/4. Outlining the model.mp4 18.4 MB
• 12. The MNIST example/4. Outlining the model.vtt 7.8 KB
• 12. The MNIST example/4.1 TensorFlow_MNIST_with_comments_Part_2.html 159 B
• 12. The MNIST example/5. Declaring the loss and the optimization algorithm.mp4 7.1 MB
• 12. The MNIST example/5. Declaring the loss and the optimization algorithm.vtt 3.1 KB
• 12. The MNIST example/5.1 TensorFlow_MNIST_with_comments_Part_3.html 159 B
• 12. The MNIST example/6. Accuracy of prediction.mp4 12.4 MB
• 12. The MNIST example/6. Accuracy of prediction.vtt 4.6 KB
• 12. The MNIST example/6.1 TensorFlow_MNIST_with_comments_Part_4.html 159 B
• 12. The MNIST example/7. Batching and early stopping.mp4 4.6 MB
• 12. The MNIST example/7. Batching and early stopping.vtt 2.5 KB
• 12. The MNIST example/7.1 TensorFlow_MNIST_with_comments_Part_5.html 159 B
• 12. The MNIST example/8. Learning.mp4 15.9 MB
• 12. The MNIST example/8. Learning.vtt 8.9 KB
• 12. The MNIST example/8.1 TensorFlow_MNIST_with_comments_Part_6.html 159 B
• 12. The MNIST example/9. Discuss the results and test.mp4 22 MB
• 12. The MNIST example/9. Discuss the results and test.vtt 7.2 KB
• 12. The MNIST example/9.1 TensorFlow_MNIST_with_comments.html 152 B
• 13. Business case/1. Exploring the dataset and identifying predictors.mp4 23.3 MB
• 13. Business case/1. Exploring the dataset and identifying predictors.vtt 9.4 KB
• 13. Business case/1.1 Audiobooks_data.csv.csv 710.8 KB
• 13. Business case/10. Testing the model.mp4 4.3 MB
• 13. Business case/10. Testing the model.vtt 2.3 KB
• 13. Business case/11. A comment on the homework.mp4 13 MB
• 13. Business case/11. A comment on the homework.vtt 4.6 KB
• 13. Business case/11.1 Homework exercise.html 134 B
• 13. Business case/12. Final exercise.html 441 B
• 13. Business case/12.1 Homework exercise.html 134 B
• 13. Business case/2. Outlining the business case solution.mp4 3.8 MB
• 13. Business case/2. Outlining the business case solution.vtt 2.2 KB
• 13. Business case/3. Balancing the dataset.mp4 13.8 MB
• 13. Business case/3. Balancing the dataset.vtt 3.9 KB
• 13. Business case/4. Preprocessing the data.mp4 34.3 MB
• 13. Business case/4. Preprocessing the data.vtt 11.8 KB
• 13. Business case/4.1 Preprocessing.html 134 B
• 13. Business case/5. Preprocessing exercise.html 394 B
• 13. Business case/5.1 Preprocessing exercise.html 134 B
• 13. Business case/6. Create a class for batching.mp4 27.6 MB
• 13. Business case/6. Create a class for batching.vtt 6.9 KB
• 13. Business case/6.1 Class.html 134 B
• 13. Business case/7. Outlining the model.mp4 19.5 MB
• 13. Business case/7. Outlining the model.vtt 6.1 KB
• 13. Business case/7.1 Outlining the model.html 134 B
• 13. Business case/8. Optimizing the algorithm.mp4 12.2 MB
• 13. Business case/8. Optimizing the algorithm.vtt 5.7 KB
• 13. Business case/8.1 Optimizing the algorithm.html 134 B
• 13. Business case/9. Interpreting the result.mp4 5.4 MB
• 13. Business case/9. Interpreting the result.vtt 2.6 KB
• 13. Business case/9.1 Interpreting the result.html 134 B

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