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TORRENT DETAILS

[UdemyCourseDownloader] Deep Learning With TensorFlow 2.0 [2019]

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	c21e69cf7d6e2cba5fbc345eda84075b7bdbe25a
Size:	2 GB in 98 files
Release Date(s):	Torrent Release: 14-07-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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FILE LIST

Filename		Size
	01. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4	105.8 MB
	01. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.vtt	8.8 KB
	01. Welcome! Course introduction/2. What does the course cover.mp4	16.4 MB
	01. Welcome! Course introduction/2. What does the course cover.vtt	5.5 KB
	01. Welcome! Course introduction/3. What does the course cover - Quiz.html	161 B
	02. Introduction to neural networks/1. Introduction to neural networks.mp4	13.6 MB
	02. Introduction to neural networks/1. Introduction to neural networks.vtt	5.2 KB
	02. Introduction to neural networks/1.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/10. The linear model. Multiple inputs.mp4	7.5 MB
	02. Introduction to neural networks/10. The linear model. Multiple inputs.vtt	2.7 KB
	02. Introduction to neural networks/10.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/11. The linear model. Multiple inputs - Quiz.html	161 B
	02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4	38.3 MB
	02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.vtt	4.8 KB
	02. Introduction to neural networks/12.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/13. The linear model. Multiple inputs and multiple outputs - Quiz.html	161 B
	02. Introduction to neural networks/14. Graphical representation.mp4	6.4 MB
	02. Introduction to neural networks/14. Graphical representation.vtt	2.3 KB
	02. Introduction to neural networks/14.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/15. Graphical representation - Quiz.html	161 B
	02. Introduction to neural networks/16. The objective function.mp4	5.7 MB
	02. Introduction to neural networks/16. The objective function.vtt	1.8 KB
	02. Introduction to neural networks/16.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/17. The objective function - Quiz.html	161 B
	02. Introduction to neural networks/18. L2-norm loss.mp4	7.3 MB
	02. Introduction to neural networks/18. L2-norm loss.vtt	2.5 KB
	02. Introduction to neural networks/18.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/19. L2-norm loss - Quiz.html	161 B
	02. Introduction to neural networks/2. Introduction to neural networks - Quiz.html	161 B
	02. Introduction to neural networks/20. Cross-entropy loss.mp4	11.4 MB
	02. Introduction to neural networks/20. Cross-entropy loss.vtt	4.6 KB
	02. Introduction to neural networks/20.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/21. Cross-entropy loss - Quiz.html	161 B
	02. Introduction to neural networks/22. One parameter gradient descent.mp4	17.8 MB
	02. Introduction to neural networks/22. One parameter gradient descent.vtt	7.4 KB
	02. Introduction to neural networks/22.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/22.2 GD-function-example.xlsx.xlsx	42.3 KB
	02. Introduction to neural networks/23. One parameter gradient descent - Quiz.html	161 B
	02. Introduction to neural networks/24. N-parameter gradient descent.mp4	39.4 MB
	02. Introduction to neural networks/24. N-parameter gradient descent.vtt	6.6 KB
	02. Introduction to neural networks/24.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/25. N-parameter gradient descent - Quiz.html	161 B
	02. Introduction to neural networks/3. Training the model.mp4	8.8 MB
	02. Introduction to neural networks/3. Training the model.vtt	3.8 KB
	02. Introduction to neural networks/3.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/4. Training the model - Quiz.html	161 B
	02. Introduction to neural networks/5. Types of machine learning.mp4	12.2 MB
	02. Introduction to neural networks/5. Types of machine learning.vtt	4.6 KB
	02. Introduction to neural networks/5.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/6. Types of machine learning - Quiz.html	161 B
	02. Introduction to neural networks/7. The linear model.mp4	9.1 MB
	02. Introduction to neural networks/7. The linear model.vtt	3.5 KB
	02. Introduction to neural networks/7.1 Course Notes - Section 2.pdf.pdf	927.7 KB
	02. Introduction to neural networks/8. The linear model - Quiz.html	161 B
	02. Introduction to neural networks/9. Need Help with Linear Algebra.html	829 B
	03. Setting up the working environment/1. Setting up the environment - An introduction - Do not skip, please!.mp4	7.2 MB
	03. Setting up the working environment/1. Setting up the environment - An introduction - Do not skip, please!.vtt	1.2 KB
	03. Setting up the working environment/10. Installing packages - exercise.html	227 B
	03. Setting up the working environment/11. Installing packages - solution.html	339 B
	03. Setting up the working environment/2. Why Python and why Jupyter.mp4	41 MB
	03. Setting up the working environment/2. Why Python and why Jupyter.vtt	5.6 KB
	03. Setting up the working environment/3. Why Python and why Jupyter - Quiz.html	161 B
	03. Setting up the working environment/4. Installing Anaconda.mp4	34.9 MB
	03. Setting up the working environment/4. Installing Anaconda.vtt	4 KB
	03. Setting up the working environment/5. The Jupyter dashboard - part 1.mp4	9.5 MB
	03. Setting up the working environment/5. The Jupyter dashboard - part 1.vtt	2.8 KB
	03. Setting up the working environment/6. The Jupyter dashboard - part 2.mp4	21.1 MB
	03. Setting up the working environment/6. The Jupyter dashboard - part 2.vtt	6 KB
	03. Setting up the working environment/7. Jupyter Shortcuts.html	332 B
	03. Setting up the working environment/7.1 Shortcuts for Jupyter.pdf.pdf	619.2 KB
	03. Setting up the working environment/8. The Jupyter dashboard - Quiz.html	161 B
	03. Setting up the working environment/9. Installing TensorFlow 2.mp4	42.9 MB
	03. Setting up the working environment/9. Installing TensorFlow 2.vtt	6.1 KB
	04. Minimal example - your first machine learning algorithm/1. Minimal example - part 1.mp4	6.5 MB
	04. Minimal example - your first machine learning algorithm/1. Minimal example - part 1.vtt	3.9 KB
	04. Minimal example - your first machine learning algorithm/1.1 Minimal example Part 1.html	136 B
	04. Minimal example - your first machine learning algorithm/2. Minimal example - part 2.mp4	10.7 MB
	04. Minimal example - your first machine learning algorithm/2. Minimal example - part 2.vtt	5.9 KB
	04. Minimal example - your first machine learning algorithm/2.1 Minimal example - part 2.html	136 B
	04. Minimal example - your first machine learning algorithm/3. Minimal example - part 3.mp4	9.8 MB
	04. Minimal example - your first machine learning algorithm/3. Minimal example - part 3.vtt	3.9 KB
	04. Minimal example - your first machine learning algorithm/3.1 Minimal example - part 3.html	136 B
	04. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4	20.8 MB
	04. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.vtt	9.5 KB
	04. Minimal example - your first machine learning algorithm/4.1 Minimal example - part 4.html	145 B
	04. Minimal example - your first machine learning algorithm/5. Minimal example - Exercises.html	1.6 KB
	04. Minimal example - your first machine learning algorithm/5.1 Minimal_example_All_Exercises.html	143 B
	04. Minimal example - your first machine learning algorithm/5.10 Minimal_example_Exercise_3.c. Solution.html	154 B
	04. Minimal example - your first machine learning algorithm/5.2 Minimal_example_Exercise_1_Solution.html	149 B
	04. Minimal example - your first machine learning algorithm/5.3 Minimal_example_Exercise_5_Solution.html	149 B
	04. Minimal example - your first machine learning algorithm/5.4 Minimal_example_Exercise_2_Solution.html	149 B
	04. Minimal example - your first machine learning algorithm/5.5 Minimal_example_Exercise_4_Solution.html	149 B
	04. Minimal example - your first machine learning algorithm/5.6 Minimal_example_Exercise_6_Solution.html	149 B
	04. Minimal example - your first machine learning algorithm/5.7 Minimal_example_Exercise_3.d. Solution.html	154 B
	04. Minimal example - your first machine learning algorithm/5.8 Minimal_example_Exercise_3.b. Solution.html	154 B
	04. Minimal example - your first machine learning algorithm/5.9 Minimal_example_Exercise_3.a. Solution.html	154 B
	05. TensorFlow - An introduction/1. TensorFlow outline.mp4	38.3 MB
	14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4	144.3 MB

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