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7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 86.5 MB
8. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
1. Welcome/2. Outline and Perspective.mp4 64.9 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 63.7 MB
7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
2. Review/1. Review of CNNs.mp4 42.8 MB
9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
3. VGG and Transfer Learning/3. Transfer Learning.mp4 40.0 MB
8. Basics Review/3. (Review) Keras Discussion.mp4 29.0 MB
5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp4 26.0 MB
9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. ResNet (and Inception)/1. ResNet Section Intro.mp4 23.4 MB
3. VGG and Transfer Learning/1. VGG Section Intro.mp4 22.3 MB

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[FreeCourseSite.com] Udemy - Python 3 Deep Dive (Part 4 - OOP)

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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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[FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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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
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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
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Screens/screen0003.png 429.1 kB
Screens/screen0002.png 315.4 kB
Screens/screen0001.png 124.8 kB
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[DesireCourse.Com] Udemy - Zero to Deep Learning™ with Python and Keras

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