Udemy - Zero to Deep Learning™ with Python and Keras

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[FreeCourseLab.com] Udemy - Zero to Deep Learning™ with Python and Keras 1. Welcome to the course!
  • 1. Welcome to the course!.mp4 (27.4 MB)
  • 1. Welcome to the course!.vtt (1.6 KB)
  • 2. Introduction.mp4 (33.9 MB)
  • 2. Introduction.vtt (1.9 KB)
  • 3. Real world applications of deep learning.mp4 (23.6 MB)
  • 3. Real world applications of deep learning.vtt (9.6 KB)
  • 4. Download and install Anaconda.mp4 (25.6 MB)
  • 4. Download and install Anaconda.vtt (2.6 KB)
  • 5. Installation Video Guide.mp4 (61.1 MB)
  • 5. Installation Video Guide.vtt (5.9 KB)
  • 5.1 Link to Github notebooks.html (0.1 KB)
  • 5.2 Link to Tensorflow install docs.html (0.1 KB)
  • 6. Obtain the code for the course.html (1.0 KB)
  • 7. Course Folder Walkthrough.mp4 (19.2 MB)
  • 7. Course Folder Walkthrough.vtt (19.2 MB)
  • 8. Your first deep learning model.mp4 (32.9 MB)
  • 8. Your first deep learning model.vtt (9.1 KB)
2. Data
  • 1. Section 2 Intro.mp4 (22.3 MB)
  • 1. Section 2 Intro.vtt (1.0 KB)
  • 10. Exercise 1 Solution.mp4 (9.4 MB)
  • 10. Exercise 1 Solution.vtt (3.1 KB)
  • 11. Exercise 2 Presentation.mp4 (1.9 MB)
  • 11. Exercise 2 Presentation.vtt (1.1 KB)
  • 12. Exercise 2 Solution.mp4 (13.5 MB)
  • 12. Exercise 2 Solution.vtt (3.6 KB)
  • 13. Exercise 3 Presentation.mp4 (1.7 MB)
  • 13. Exercise 3 Presentation.vtt (0.9 KB)
  • 14. Exercise 3 Solution.mp4 (7.2 MB)
  • 14. Exercise 3 Solution.vtt (1.6 KB)
  • 15. Exercise 4 Presentation.mp4 (1.5 MB)
  • 15. Exercise 4 Presentation.vtt (0.8 KB)
  • 16. Exercise 4 Solution.mp4 (4.2 MB)
  • 16. Exercise 4 Solution.vtt (1.3 KB)
  • 17. Exercise 5 Presentation.mp4 (2.1 MB)
  • 17. Exercise 5 Presentation.vtt (1.2 KB)
  • 18. Exercise 5 Solution.mp4 (7.8 MB)
  • 18. Exercise 5 Solution.vtt (1.3 KB)
  • 2. Tabular data.mp4 (11.7 MB)
  • 2. Tabular data.vtt (6.3 KB)
  • 3. Data exploration with Pandas code along.mp4 (30.9 MB)
  • 3. Data exploration with Pandas code along.vtt (10.0 KB)
  • 4. Visual data Exploration.mp4 (9.1 MB)
  • 4. Visual data Exploration.vtt (5.1 KB)
  • 5. Plotting with Matplotlib.mp4 (32.8 MB)
  • 5. Plotting with Matplotlib.vtt (0.1 KB)
  • 6. Unstructured Data.mp4 (11.3 MB)
  • 6. Unstructured Data.vtt (5.2 KB)
  • 7. Images and Sound in Jupyter.mp4 (14.0 MB)
  • 7. Images and Sound in Jupyter.vtt (4.2 KB)
  • 8. Feature Engineering.mp4 (5.8 MB)
  • 8. Feature Engineering.vtt (2.6 KB)
  • 9. Exercise 1 Presentation.mp4 (3.2 MB)
  • 9. Exercise 1 Presentation.vtt (1.8 KB)
3. Machine Learning
  • 1. Section 3 Intro.mp4 (39.0 MB)
  • 1. Section 3 Intro.vtt (2.0 KB)
  • 10. Evaluating Performance code along.mp4 (10.3 MB)
  • 10. Evaluating Performance code along.vtt (4.3 KB)
  • 11. Classification.mp4 (14.2 MB)
  • 11. Classification.vtt (7.6 KB)
  • 12. Classification code along.mp4 (22.9 MB)
  • 12. Classification code along.vtt (7.3 KB)
  • 13. Overfitting.mp4 (9.4 MB)
  • 13. Overfitting.vtt (5.3 KB)
  • 14. Cross Validation.mp4 (12.4 MB)
  • 14. Cross Validation.vtt (6.6 KB)
  • 15. Cross Validation code along.mp4 (9.7 MB)
  • 15. Cross Validation code along.vtt (3.9 KB)
  • 16. Confusion matrix.mp4 (11.3 MB)
  • 16. Confusion matrix.vtt (6.1 KB)
  • 17. Confusion Matrix code along.mp4 (8.7 MB)
  • 17. Confusion Matrix code along.vtt (3.3 KB)
  • 18. Feature Preprocessing code along.mp4 (16.0 MB)
  • 18. Feature Preprocessing code along.vtt (5.0 KB)
  • 19. Exercise 1 Presentation.mp4 (6.4 MB)
  • 19. Exercise 1 Presentation.vtt (2.7 KB)
  • 2. Machine Learning Problems.mp4 (9.3 MB)
  • 2. Machine Learning Problems.vtt (3.4 KB)
  • 20. Exercise 1 solution.mp4 (37.3 MB)
  • 20. Exercise 1 solution.vtt (11.5 KB)
  • 21. Exercise 2 Presentation.mp4 (7.4 MB)
  • 21. Exercise 2 Presentation.vtt (2.8 KB)
  • 22. Exercise 2 solution.mp4 (43.2 MB)
  • 22. Exercise 2 solution.vtt (11.3 KB)
  • 3. Supervised Learning.mp4 (10.4 MB)
  • 3. Supervised Learning.vtt (4.9 KB)
  • 4. Linear Regression.mp4 (9.8 MB)
  • 4. Linear Regression.vtt (4.6 KB)
  • 5. Cost Function.mp4 (6.0 MB)
  • 5. Cost Function.vtt (3.2 KB)
  • 6. Cost Function code along.mp4 (17.9 MB)
  • 6. Cost Function code along.vtt (5.9 KB)
  • 7. Finding the best model.mp4 (5.1 MB)
  • 7. Finding the best model.vtt (2.7 KB)
  • 8. Linear Regression code along.mp4 (39.9 MB)
  • 8. Linear Regression code along.vtt (10.1 KB)
  • 9. Evaluating Performance.mp4 (9.0 MB)
  • 9. Evaluating Performance.vtt (5.3 KB)
4. Deep Learning Intro
  • 1. Section 4 Intro.mp4 (30.9 MB)
  • 1. Section 4 Intro.vtt (1.5 KB)
  • 10. Exercise 1 Presentation.mp4 (4.7 MB)
  • 10. Exercise 1 Presentation.vtt (1.6 KB)
  • 11. Exercise 1 Solution.mp4 (24.8 MB)
  • 11. Exercise 1 Solution.vtt (6.6 KB)
  • 12. Exercise 2 Presentation.mp4 (3.0 MB)
  • 12. Exercise 2 Presentation.vtt (1.4 KB)
  • 13. Exercise 2 Solution.mp4 (25.2 MB)
  • 13. Exercise 2 Solution.vtt (7.0 KB)
  • 14. Exercise 3 Presentation.mp4 (2.8 MB)
  • 14. Exercise 3 Presentation.vtt (1.4 KB)
  • 15. Exercise 3 Solution.mp4 (20.6 MB)
  • 15. Exercise 3 Solution.vtt (3.0 KB)
  • 16. Exercise 4 Presentation.mp4 (1.9 MB)
  • 16. Exercise 4 Presentation.vtt (1.1 KB)
  • 17. Exercise 4 Solution.mp4 (13.6 MB)
  • 17. Exercise 4 Solution.vtt (5.2 KB)

Description

Udemy - Zero to Deep Learning™ with Python and Keras

This course is designed to provide a complete introduction to Deep Learning.

Created by Data Weekends, Jose Portilla, Francesco Mosconi
Last updated 12/2018

For more Udemy Courses: https://freecourselab.com



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Udemy - Zero to Deep Learning™ with Python and Keras

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1.9 GB
seeders:10
leechers:5
Udemy - Zero to Deep Learning™ with Python and Keras

Torrent hash: 5737267F67F7A4F8D1FEF878D051F8FA9DB957B2