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TORRENT DETAILS

[Tutorialsplanet.NET] Udemy - Modern Deep Learning In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	a60897bb8c3664734ca9d28bcde90147c4a410c2
Size:	1.4 GB in 99 files
Release Date(s):	Torrent Release: 09-10-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

Udemy - Modern Deep Learning In Python [TP]

Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.

For more Udemy Courses: https://tutorialsplanet.net

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FILE LIST

Filename		Size
	1. Introduction and Outline/1. Outline - what did you learn previously, and what will you learn in this course.mp4	14.4 MB
	1. Introduction and Outline/1. Outline - what did you learn previously, and what will you learn in this course.vtt	9.8 KB
	1. Introduction and Outline/2. Where does this course fit into your deep learning studies.mp4	6 MB
	1. Introduction and Outline/2. Where does this course fit into your deep learning studies.vtt	5 KB
	10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.mp4	9.4 MB
	10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.vtt	5.8 KB
	11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4	9.8 MB
	11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.vtt	5.7 KB
	11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4	21.4 MB
	11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.vtt	14.3 KB
	11. Project Facial Expression Recognition/3. The class imbalance problem.mp4	10.1 MB
	11. Project Facial Expression Recognition/3. The class imbalance problem.vtt	7.2 KB
	11. Project Facial Expression Recognition/4. Utilities walkthrough.mp4	13.5 MB
	11. Project Facial Expression Recognition/4. Utilities walkthrough.vtt	5.2 KB
	11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4	44 MB
	11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.vtt	13.4 KB
	11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4	37.4 MB
	11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.vtt	11.5 KB
	11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4	2.9 MB
	11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.vtt	1.5 KB
	12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.mp4	4.3 MB
	12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.vtt	2.7 KB
	12. Modern Regularization Techniques/2. Dropout Regularization.mp4	22.7 MB
	12. Modern Regularization Techniques/2. Dropout Regularization.vtt	12.7 KB
	12. Modern Regularization Techniques/3. Dropout Intuition.mp4	6.1 MB
	12. Modern Regularization Techniques/3. Dropout Intuition.vtt	4 KB
	12. Modern Regularization Techniques/4. Noise Injection.mp4	8.6 MB
	12. Modern Regularization Techniques/4. Noise Injection.vtt	6.2 KB
	12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.mp4	3.9 MB
	12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.vtt	2.4 KB
	13. Batch Normalization/1. Batch Normalization Introduction.mp4	3.5 MB
	13. Batch Normalization/1. Batch Normalization Introduction.vtt	2.2 KB
	13. Batch Normalization/2. Exponentially-Smoothed Averages.mp4	7.4 MB
	13. Batch Normalization/2. Exponentially-Smoothed Averages.vtt	4.8 KB
	13. Batch Normalization/3. Batch Normalization Theory.mp4	18.6 MB
	13. Batch Normalization/3. Batch Normalization Theory.vtt	12.4 KB
	13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).mp4	9.4 MB
	13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).vtt	5.9 KB
	13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4	14.9 MB
	13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).vtt	5.9 KB
	13. Batch Normalization/6. Batch Normalization Theano (part 1).mp4	7.6 MB
	13. Batch Normalization/6. Batch Normalization Theano (part 1).vtt	4.8 KB
	13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4	16.5 MB
	13. Batch Normalization/7. Batch Normalization Theano (part 2).vtt	7 KB
	13. Batch Normalization/8. Noise Perspective.mp4	3.1 MB
	13. Batch Normalization/8. Noise Perspective.vtt	2.2 KB
	13. Batch Normalization/9. Batch Normalization Summary.mp4	2.6 MB
	13. Batch Normalization/9. Batch Normalization Summary.vtt	1.9 KB
	14. Keras/1. Keras Discussion.mp4	11.2 MB
	14. Keras/1. Keras Discussion.vtt	8 KB
	14. Keras/2. Keras in Code.mp4	14.8 MB
	14. Keras/2. Keras in Code.vtt	6.5 KB
	14. Keras/3. Keras Functional API.mp4	38.6 MB
	14. Keras/3. Keras Functional API.vtt	4.7 KB
	15. PyTorch/1. PyTorch Basics.mp4	116.8 MB
	15. PyTorch/1. PyTorch Basics.vtt	12.9 KB
	15. PyTorch/2. PyTorch Dropout.mp4	32.7 MB
	15. PyTorch/2. PyTorch Dropout.vtt	2.6 KB
	15. PyTorch/3. PyTorch Batch Norm.mp4	33.9 MB
	15. PyTorch/3. PyTorch Batch Norm.vtt	2.6 KB
	16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.mp4	1.3 MB
	16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.vtt	947 B
	17. Appendix/1. What is the Appendix.mp4	5.5 MB
	17. Appendix/1. What is the Appendix.vtt	3.3 KB
	17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4	78.3 MB
	17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.vtt	12.2 KB
	17. Appendix/11. How to Uncompress a .tar.gz file.mp4	5.4 MB
	17. Appendix/11. How to Uncompress a .tar.gz file.vtt	3.7 KB
	17. Appendix/12. Python 2 vs Python 3.mp4	7.8 MB
	17. Appendix/12. Python 2 vs Python 3.vtt	5.4 KB
	17. Appendix/13. What order should I take your courses in (part 1).mp4	29.3 MB
	17. Appendix/13. What order should I take your courses in (part 1).vtt	14.1 KB
	17. Appendix/14. What order should I take your courses in (part 2).mp4	37.6 MB
	17. Appendix/14. What order should I take your courses in (part 2).vtt	20.2 KB
	17. Appendix/2. What's the difference between neural networks and deep learning.mp4	45.1 MB
	17. Appendix/2. What's the difference between neural networks and deep learning.vtt	8.9 KB
	17. Appendix/3. Manually Choosing Learning Rate and Regularization Penalty.mp4	7.8 MB
	17. Appendix/3. Manually Choosing Learning Rate and Regularization Penalty.vtt	5 KB
	17. Appendix/4. Windows-Focused Environment Setup 2018.mp4	186.3 MB
	17. Appendix/4. Windows-Focused Environment Setup 2018.vtt	17.4 KB
	17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.9 MB
	17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.4 KB
	17. Appendix/6. How to Succeed in this Course (Long Version).mp4	13 MB
	17. Appendix/6. How to Succeed in this Course (Long Version).vtt	12.9 KB
	17. Appendix/7. How to Code by Yourself (part 1).mp4	24.5 MB
	17. Appendix/7. How to Code by Yourself (part 1).vtt	19.8 KB
	17. Appendix/8. How to Code by Yourself (part 2).mp4	14.8 MB
	17. Appendix/8. How to Code by Yourself (part 2).vtt	11.6 KB
	17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	39 MB
	17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	27.8 KB
	2. Review/1. Review of Basic Concepts.mp4	23.4 MB
	2. Review/1. Review of Basic Concepts.vtt	16 KB
	2. Review/2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4	11.1 MB
	2. Review/2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt	4.2 KB
	3. Gradient Descent Full vs Batch vs Stochastic/1. What are full, batch, and stochastic gradient descent.mp4	5.8 MB
	3. Gradient Descent Full vs Batch vs Stochastic/1. What are full, batch, and stochastic gradient descent.vtt	3.5 KB
	3. Gradient Descent Full vs Batch vs Stochastic/2. Full vs Batch vs Stochastic Gradient Descent in code.mp4	14 MB
	3. Gradient Descent Full vs Batch vs Stochastic/2. Full vs Batch vs Stochastic Gradient Descent in code.vtt	5.8 KB
	4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.mp4	10.7 MB

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