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TORRENT DETAILS

[DesireCourse.Net] Udemy - Master Deep Learning With TensorFlow In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	b32fa4dc9596273110ecc8a0055a9502488d916b
Size:	1.4 GB in 99 files
Release Date(s):	Torrent Release: 24-05-2019 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

Master Deep Learning with TensorFlow in Python

Build Deep Learning Algorithms with TensorFlow, Dive into Neural Networks and Master the #1 Skill of the Data Scientist

For More Courses Visit: https://desirecourse.net

For More Courses Visit: https://courseclub.me

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FILE LIST

Filename		Size
	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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