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9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
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【影视】 Learn Computer Networking with respect to Ethical Hacking

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[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/6. Network Analysis/2. NMap.mp4 420.3 MB
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[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/2. Basic concepts of networking/4. TCP IP iNTRO.mp4 168.2 MB
[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/6. Network Analysis/1. Wireshark.mp4 157.3 MB
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[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/3. IP & Routing/1. Intro and Routing.mp4 148.6 MB
[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/9. Attack and Advance Security/1. Biometric Authentication.mp4 134.2 MB
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[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/13. Final Section/1. DosDDos Attack.mp4 125.3 MB
[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/3. IP & Routing/2. Detailing in IP address and Routing.mp4 119.7 MB
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[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/11. SQL INJECTION/1. Wifi Hacking with Kali.mp4 117.0 MB
[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/10. Hacking/2. Wifi Hacking with Kali.mp4 117.0 MB
[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/4. Routing Protocols in Depth/3. IP v4 Protocols.mp4 114.6 MB
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[TutsNode.com] - Learn Computer Networking with respect to Ethical Hacking/12. Web Experimenting/1. Scanning,Spoofing,Sniffing.mp4 111.8 MB
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【影视】 [CourseClub.NET] Udacity - Computer Vision Nanodegree v1.0.0

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Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 84.3 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 40.0 MB
Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MB
Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MB
Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 35.4 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MB
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Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MB
Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MB

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【影视】 [FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python

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9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB

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【影视】 [FreeTutorials.Us] Udemy - Deep Learning Advanced Computer Vision

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9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
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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【影视】 Joymii - Stella Cardo - The Computer Guy

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【影视】 [FreeCourseLab.com] Udemy - Computer Graphics with Modern OpenGL and C++

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5. Advanced/2. [CODING] Directional Shadow Maps.mp4 1.3 GB
4. Intermediate/8. [CODING] Point Lights.mp4 935.3 MB
4. Intermediate/10. [CODING] Model Importing.mp4 931.1 MB
5. Advanced/5. [CODING] Omnidirectional Shadow Maps Applying the Shadow Map.mp4 751.4 MB
5. Advanced/4. [CODING] Omnidirectional Shadow Maps Creating the Cubemap.mp4 700.9 MB
2. Beginner/13. [CODING] Clean Up.mp4 648.0 MB
4. Intermediate/2. [CODING] Texture Mapping.mp4 597.9 MB
4. Intermediate/9. [CODING] Spot Lights.mp4 558.9 MB
5. Advanced/7. [CODING] The Skybox.mp4 546.2 MB
4. Intermediate/5. [CODING] Diffuse Lighting.mp4 510.8 MB
3. The Camera/3. [CODING] Camera Movement.mp4 487.0 MB
2. Beginner/3. [THEORY] Vectors, Matrices and Uniform Variables.mp4 442.1 MB
2. Beginner/2. [CODING] Shaders and the First Triangle.mp4 379.6 MB
4. Intermediate/6. [CODING] Specular Lighting.mp4 378.2 MB
5. Advanced/1. [THEORY] Shadow Mapping.mp4 361.3 MB
2. Beginner/1. [THEORY] Shaders and the Rendering Pipeline.mp4 327.8 MB
1. Introduction/3. [CODING] Setting up GLEW with GLFW.mp4 313.7 MB
3. The Camera/2. [CODING] Camera Input with GLFW.mp4 312.9 MB
5. Advanced/3. [THEORY] Omnidirectional Shadows, Cube Maps and the Geometry Shader.mp4 296.0 MB
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