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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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~Get Your Files Here !/2 - Building Theoretical Concept/5 - Introduction to neural network.mp4 140.2 MB
~Get Your Files Here !/3 - Building Practical Concept/11 - Gradient Optimization in detail.mp4 133.7 MB
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~Get Your Files Here !/3 - Building Practical Concept/8 - Real World Tensor Example.mp4 99.9 MB
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~Get Your Files Here !/2 - Building Theoretical Concept/6 - Introduction to Activation Function.mp4 61.4 MB
~Get Your Files Here !/3 - Building Practical Concept/13 - Example of Neural Network.mp4 47.2 MB
~Get Your Files Here !/4 - Getting started with Neural Network/16 - Quick Overview of Keras.mp4 46.5 MB
~Get Your Files Here !/3 - Building Practical Concept/12 - BackPropagation.mp4 45.4 MB
~Get Your Files Here !/4 - Getting started with Neural Network/15 - Anatomy of Neural Network.mp4 36.2 MB
~Get Your Files Here !/4 - Getting started with Neural Network/14 - Introduction to the section.mp4 21.1 MB
~Get Your Files Here !/1 - Introduction/3 - Setting up Google Colab.mp4 20.8 MB
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~Get Your Files Here !/Bonus Resources.txt 386 Bytes

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[ FreeCourseWeb.com ] Linux Academy - Lambda Deep Dive.zip

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09.jpg 10.8 kB
03.jpg 9.0 kB
07.jpg 8.8 kB
11.jpg 8.5 kB
04.jpg 8.1 kB
10.jpg 7.8 kB
05.jpg 7.8 kB
06.jpg 7.1 kB
01.jpg 6.9 kB
08.jpg 6.3 kB
[email protected]@Deep Inside Kobe Tai.txt 640 Bytes

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[ TutGator.com ] Udemy - Deep Learning for Natural Language Processing (DL for NLP) 1.zip

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[FreeCourseLab.com] Udemy - Python 3 Deep Dive (Part 2)

2. Sequence Types/10. Slicing - Lecture.mp4 689.2 MB
2. Sequence Types/8. Copying Sequences - Lecture.mp4 634.3 MB
12. Generators as Coroutines/2. Coroutines - Lecture.mp4 506.7 MB
10. Context Managers/2. Context Managers - Lecture.mp4 488.4 MB
9. Project 4/5. Project Solution Goal 4.mp4 475.6 MB
2. Sequence Types/24. List Comprehensions - Lecture.mp4 385.3 MB
2. Sequence Types/22. Sorting Sequences - Lecture.mp4 384.5 MB
9. Project 4/3. Project Solution Goal 2.mp4 382.1 MB
6. Generators/2. Yielding and Generator Functions - Lecture.mp4 380.0 MB
2. Sequence Types/2. Sequence Types - Lecture.mp4 369.1 MB
8. Iteration Tools/12. Mapping and Reducing - Lecture.mp4 341.6 MB
2. Sequence Types/7. Index Base and Slice Bounds - Rationale.mp4 327.6 MB
9. Project 4/2. Project Solution Goal 1.mp4 320.0 MB
12. Generators as Coroutines/6. Sending to Generators - Lecture.mp4 294.0 MB
7. Project 3/2. Project Solution Goal 1.mp4 280.5 MB
9. Project 4/1. Project - Description.mp4 250.5 MB
3. Project 1/2. Project Solution Goal 1.mp4 236.2 MB
2. Sequence Types/25. List Comprehensions - Coding.mp4 235.2 MB
10. Context Managers/8. Generators and Context Managers - Lecture.mp4 230.6 MB
2. Sequence Types/12. Custom Sequences - Part 1 - Lecture.mp4 230.0 MB

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[FreeCourseSite.com] Udemy - Deep Learning Advanced NLP and RNNs

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
2. Review/6. CNN Code (part 1).mp4 155.8 MB
8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
5. Attention/5. Attention Code 1.mp4 104.8 MB
8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
2. Review/4. What is a CNN.mp4 65.0 MB
5. Attention/2. Attention Theory.mp4 64.8 MB
2. Review/7. CNN Code (part 2).mp4 62.2 MB
2. Review/2. What is a word embedding.mp4 60.3 MB
2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB

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[ FreeCourseWeb.com ] Udemy - Getting started - Deep Learning (Machine Learning) in ArcGIS.zip

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[FreeCourseSite.com] Udemy - Python 3 Deep Dive (Part 1)

4. Numeric Types/11. Floats Equality Testing - Coding.mp4 249.4 MB
7. Scopes, Closures and Decorators/6. Closures - Lecture.mp4 199.6 MB
7. Scopes, Closures and Decorators/2. Global and Local Scopes - Lecture.mp4 175.4 MB
4. Numeric Types/4. Integers Constructors and Bases - Lecture.mp4 143.0 MB
8. Tuples as Data Structures and Named Tuples/4. Named Tuples - Lecture.mp4 141.4 MB
8. Tuples as Data Structures and Named Tuples/5. Named Tuples - Coding.mp4 134.1 MB
6. First-Class Functions/13. Reducing Functions - Lecture.mp4 131.7 MB
7. Scopes, Closures and Decorators/12. Decorator Application (Timer).mp4 131.7 MB
7. Scopes, Closures and Decorators/20. Decorator Application (Dispatching) - Part 2.mp4 129.2 MB
4. Numeric Types/14. Floats Rounding - Lecture.mp4 128.1 MB
7. Scopes, Closures and Decorators/7. Closures - Coding.mp4 117.8 MB
7. Scopes, Closures and Decorators/19. Decorator Application (Dispatching) - Part 1.mp4 116.4 MB
6. First-Class Functions/18. The operator Module - Coding.mp4 114.3 MB
6. First-Class Functions/11. Map, Filter, Zip and List Comprehensions - Lecture.mp4 111.3 MB
7. Scopes, Closures and Decorators/10. Decorators (Part 1) - Lecture.mp4 110.6 MB
7. Scopes, Closures and Decorators/4. Nonlocal Scopes - Lecture.mp4 110.3 MB
3. Variables and Memory/4. Garbage Collection.mp4 109.6 MB
8. Tuples as Data Structures and Named Tuples/11. Named Tuples - Application - Alternative to Dictionaries.mp4 109.3 MB
7. Scopes, Closures and Decorators/21. Decorator Application (Dispatching) - Part 3.mp4 108.2 MB
4. Numeric Types/28. Booleans Precedence and Short-Circuiting - Lecture.mp4 107.8 MB

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