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12. Exceptions (Single Inheritance)/4. Handling Exceptions - Lecture.mp4 358.0 MB
12. Exceptions (Single Inheritance)/9. Custom Exceptions - Coding.mp4 337.9 MB
2. Classes/18. Properties - Lecture.mp4 336.5 MB
3. Project 1/11. Project Solution - Testing with unittest.mp4 328.4 MB
7. Project 3/4. Project Solution - Resources class and tests.mp4 311.1 MB
12. Exceptions (Single Inheritance)/5. Handling Exceptions - Coding.mp4 280.8 MB
12. Exceptions (Single Inheritance)/2. Python Exceptions - Lecture.mp4 272.8 MB
2. Classes/4. Class Attributes - Lecture.mp4 261.4 MB
9. Project 4/2. Solution - Part 1.mp4 252.7 MB
2. Classes/12. Function Attributes - Lecture.mp4 249.6 MB
6. Single Inheritance/10. Delegating to Parent - Lecture.mp4 248.8 MB
2. Classes/20. Property Decorators - Lecture.mp4 241.6 MB
6. Single Inheritance/6. Overriding - Lecture.mp4 232.6 MB
2. Classes/27. Class and Static Methods - Lecture.mp4 222.3 MB
2. Classes/2. Objects and Classes - Lecture.mp4 216.9 MB
8. Descriptors/19. Application - Example 2.mp4 215.9 MB
13. Project 6/2. Project Solution.mp4 209.2 MB
3. Project 1/9. Project Solution - Confirmation Codes.mp4 205.4 MB
10. Enumerations/3. Enumerations - Lecture.mp4 197.7 MB

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18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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Screens/screen0001.png 9.9 MB
Screens/screen0003.png 5.5 MB
Screens/screen0002.png 4.4 MB
Mysteries.of.the.Deep.S01E07.Bermuda.Triangle.Doomsday.iNTERNAL.1080p.HEVC.x265-MeGusta.nfo 1.2 kB
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[FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
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[ FreeCourseWeb.com ] Udemy - Complete CATIA V5 R20- Deep Learning All In One from A- Z.zip

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Screens/screen0003.png 429.1 kB
Screens/screen0002.png 315.4 kB
Screens/screen0001.png 124.8 kB
Mysteries.of.the.Deep.S01E05.Mummy.on.the.Ghost.Ship.XviD-AFG.nfo 1.2 kB
Torrent Downloaded From www.SceneTime.com.txt 86 Bytes

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1 Charlie Brown.mp3 11.4 MB
10 Christmas Lights.mp3 9.7 MB
11 Miracles.mp3 9.5 MB
12 Moses (Live In Sydney).mp3 13.2 MB
13 Cemeteries Of London.mp3 8.1 MB
14 Green Eyes.mp3 9.0 MB
15 Brothers And Sisters.mp3 9.9 MB
2 Rainy Day.mp3 8.3 MB
3 Til Kingdom Come.mp3 10.1 MB
4 Lovers In Japan - Reign Of Love.mp3 16.5 MB
5 Crests Of Waves.mp3 8.8 MB
6 Up&Up.mp3 16.3 MB
7 Fix You (Live).mp3 12.1 MB
8 Homecoming (feat. Chris Martin).mp3 8.2 MB
9 Amsterdam.mp3 12.8 MB
folder.jpg 38.1 kB

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[DesireCourse.Com] Udemy - Zero to Deep Learning™ with Python and Keras

[DesireCourse.Com] Udemy - Zero to Deep Learning™ with Python and Keras.zip 1.3 GB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

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Ink.Master.S11E11.In.Deep.Waters.720p.PMNT.WEB-DL.AAC2.0.H.264.nfo 1.6 kB
Screens/screen0001.png 1.3 MB
Screens/screen0002.png 780.0 kB
Screens/screen0003.png 1.5 MB
Screens/screen0004.png 1.4 MB
Torrent Downloaded From www.scenetime.com.txt 103 Bytes

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