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【影视】 AllGirlMassage - Dee Williams & Kenzie Reeves - Learning From The Best

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【影视】 Learning.Modular.Synthesis.Moog.Mother.32.Semimodular.Synth-kEISO

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04. UNKNOWN CHAPTER TITLE/04_05-Adding a second oscillator.mp4 101.7 MB
04. UNKNOWN CHAPTER TITLE/04_06-Safely splitting a signal.mp4 90.4 MB
04. UNKNOWN CHAPTER TITLE/04_03-Attenuators and mixers.mp4 87.7 MB
04. UNKNOWN CHAPTER TITLE/04_02-Using the patchbay.mp4 70.9 MB
02. Creating Sounds/02_03-The filter section.mp4 68.1 MB
04. UNKNOWN CHAPTER TITLE/04_01-Mounting the Mother32.mp4 64.1 MB
03. Using the Sequencer/03_01-Basic playback and recording.mp4 62.7 MB
03. Using the Sequencer/03_04-Editing a sequence.mp4 62.5 MB
03. Using the Sequencer/03_03-Sequencing with glides and repeats.mp4 58.5 MB
03. Using the Sequencer/03_02-Sequencing with holds and rests.mp4 53.5 MB
02. Creating Sounds/02_01-Creating a basic sound patch.mp4 53.2 MB
04. UNKNOWN CHAPTER TITLE/04_04-Adding a second envelope.mp4 50.2 MB
02. Creating Sounds/02_04-Other modulation applications.mp4 44.3 MB
03. Using the Sequencer/03_05-Live performance with the sequencer.mp4 35.9 MB
02. Creating Sounds/02_02-The oscillator section.mp4 29.6 MB
01. Introduction/01_02-An overview of the Moog Mother32.mp4 27.3 MB
01. Introduction/01_01-Welcome.mp4 26.4 MB
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【影视】 [FreeCoursesOnline.Me] [Packt] Regression Analysis for Statistics and Machine Learning in R [FCO]

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1.Get Started with Practical Regression Analysis in R/01.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools.mp4 121.2 MB
7.Working with Non-Parametric and Non-Linear Data/55.ML Model Selection.mp4 107.1 MB
6.Generalized Linear Models (GLMs)/45.Goodness of fit testing.mp4 91.4 MB
1.Get Started with Practical Regression Analysis in R/02.Difference Between Statistical Analysis & Machine Learning.mp4 75.6 MB
1.Get Started with Practical Regression Analysis in R/07.Basic Exploratory Data Analysis in R.mp4 58.3 MB
1.Get Started with Practical Regression Analysis in R/04.Reading in Data with R.mp4 52.2 MB
1.Get Started with Practical Regression Analysis in R/05.Data Cleaning with R.mp4 47.0 MB
6.Generalized Linear Models (GLMs)/41.Logistic regression.mp4 46.6 MB
7.Working with Non-Parametric and Non-Linear Data/48.Generalized Additive Models (GAMs) in R.mp4 41.9 MB
4.Variable & Model Selection/32.Evaluate Regression Model Performance.mp4 41.6 MB
4.Variable & Model Selection/29.Select the Most Suitable OLS Regression Model.mp4 40.7 MB
6.Generalized Linear Models (GLMs)/42.Logistic Regression for Binary Response Variable.mp4 33.2 MB
2.Ordinary Least Square Regression Modelling/18.Multiple Linear regression with Interaction and Dummy Variables.mp4 31.7 MB
3.Deal with Multicollinearity in OLS Regression Models/23.Principal Component Regression in R.mp4 31.0 MB
1.Get Started with Practical Regression Analysis in R/06.Some More Data Cleaning with R.mp4 30.4 MB
3.Deal with Multicollinearity in OLS Regression Models/21.Identify Multicollinearity.mp4 30.1 MB
7.Working with Non-Parametric and Non-Linear Data/51.CART-Regression Trees in R.mp4 29.7 MB
Exercise Files/code_9781838987862.zip 29.3 MB
2.Ordinary Least Square Regression Modelling/09.OLS Regression- Theory.mp4 29.1 MB
2.Ordinary Least Square Regression Modelling/19.Some Basic Conditions that OLS Models Have to Fulfill.mp4 28.9 MB

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【影视】 Learning.to.See.The.World.of.Insects.2016.720p.BluRay.H264.AAC-RARBG

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【影视】 MotionElements - Learning Curve - 11911862

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02. Video tutorial/Tutorial.mp4 52.2 MB
Learning Curve - 11911862.mp4 12.4 MB
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03. Assets/Papers.JPG 1.8 MB
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【影视】 [FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

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5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
4. NumPy/2. NumPy Arrays.mp4 115.0 MB
5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB

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【影视】 Learning the Hard Way 1.mp4

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Learning the Hard Way 1.mp4 204.2 MB

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【影视】 [05-2019] learning-data-structures-in-javascript-from-scratch

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01 Introduction to Data Structures and Important Concepts/001 What Are Data Structures and Why Are They Important_.mp4 43.7 MB
03 Binary Search Trees/035 Breadth First Traversal - part 2.mp4 35.5 MB
03 Binary Search Trees/028 Depth First Traversal - In-Order.mp4 34.5 MB
03 Binary Search Trees/024 Insert Method.mp4 31.5 MB
02 Linked Lists/017 Big O Notation and Calculating the Runtime of a Function.mp4 30.8 MB
01 Introduction to Data Structures and Important Concepts/002 Constructor Functions and the _this_ Keyword.mp4 29.0 MB
02 Linked Lists/013 Search Method.mp4 28.0 MB
04 Hash Tables/047 Refactoring Insert Method.mp4 27.7 MB
02 Linked Lists/008 Using Add To Head.mp4 27.7 MB
04 Hash Tables/052 Hash Table - Exercise Review.mp4 26.9 MB
03 Binary Search Trees/021 What is a Binary Search Tree_.mp4 26.1 MB
04 Hash Tables/049 Get Method.mp4 25.7 MB
04 Hash Tables/045 Insert Method.mp4 25.2 MB
05 Next Steps/055 Next Steps.mp4 24.7 MB
02 Linked Lists/007 Add To Head - part 2.mp4 24.6 MB
03 Binary Search Trees/033 Depth First Traversal - Post-Order.mp4 24.6 MB
03 Binary Search Trees/026 Contains Method.mp4 24.0 MB
02 Linked Lists/011 Remove Head.mp4 24.0 MB
03 Binary Search Trees/034 Breadth First Traversal - part 1.mp4 23.9 MB
02 Linked Lists/010 Testing Add To Tail and Add To Head.mp4 23.6 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

收录时间:2021-03-09 文档个数:254 文档大小:2.6 GB 最近下载:2025-05-13 人气:664 磁力链接

18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB

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【影视】 [OTUS] Deep Learning Engineer (2018)

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lesson8.mp4 439.7 MB
lesson9.mp4 438.7 MB
lesson1.mp4 432.3 MB
lesson2.mp4 414.0 MB
lesson7.mp4 410.6 MB
lesson15.mp4 406.1 MB
lesson16.mp4 403.4 MB
lesson20.mp4 386.2 MB
lesson14.mp4 381.3 MB
lesson10.mp4 380.9 MB
lesson21.mp4 378.1 MB
lesson3.mp4 377.0 MB
lesson13.mp4 368.4 MB
lesson4.mp4 342.1 MB
lesson6.mp4 336.9 MB
lesson18.mp4 312.0 MB
lesson19.mp4 309.8 MB
lesson17.mp4 290.2 MB
lesson5.mp4 244.0 MB
lesson12.mp4 206.7 MB

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【影视】 [FreeCourseSite.com] Udemy - Deep Learning Advanced Computer Vision

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9. Appendix/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
8. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
9. Appendix/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
7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 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
9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 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/5. How to Code by Yourself (part 1).mp4 25.7 MB
6. Neural Style Transfer/2. Style Transfer Theory.mp4 20.9 MB
2. Review/1. Review of CNNs.mp4 19.4 MB
5. Object Detection (SSD)/7. SSD in Tensorflow.mp4 18.3 MB
6. Neural Style Transfer/5. Code pt 2.mp4 16.5 MB

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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python

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8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.6 MB
8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.7 MB
8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB

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【影视】 Lynda - Learning VPN [AhLaN]

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6 - 5. VPN Implementations/21 - Planning a VPN solution.mp4 20.5 MB
3 - 2. IKEv2 and WireGuard with Algo/10 - Working with IKEv2 and WireGuard VPN with Algo.mp4 11.6 MB
1 - Introduction/01 - What is a VPN.mp4 10.5 MB
1 - Introduction/02 - How VPN works.mp4 9.4 MB
2 - 1. VPN Protocols/03 - Terms and basics.mp4 8.4 MB
5 - 4. SSH Forwarding/15 - Forwarding an SSH connection.mp4 6.8 MB
5 - 4. SSH Forwarding/16 - Using SSH as a SOCKS proxy.mp4 6.4 MB
4 - 3. OpenVPN/12 - Set up an OpenVPN server.mp4 6.2 MB
2 - 1. VPN Protocols/08 - SSTP, WireGuard, and SoftEther.mp4 5.7 MB
2 - 1. VPN Protocols/05 - L2TP over IPSec.mp4 5.7 MB
6 - 5. VPN Implementations/20 - Commercial VPN providers.mp4 5.7 MB
6 - 5. VPN Implementations/19 - Connecting from mobile.mp4 4.6 MB
6 - 5. VPN Implementations/17 - Appliances and multifunction devices.mp4 4.2 MB
6 - 5. VPN Implementations/18 - Connecting from a desktop or laptop.mp4 3.7 MB
2 - 1. VPN Protocols/09 - SSH.mp4 3.4 MB
2 - 1. VPN Protocols/04 - PPTP.mp4 3.4 MB
5 - 4. SSH Forwarding/14 - Configuring an SSH server.mp4 3.3 MB
7 - Conclusion/22 - Troubleshooting tips.mp4 3.2 MB
3 - 2. IKEv2 and WireGuard with Algo/11 - Connecting to Algo from a mobile device.mp4 3.2 MB
2 - 1. VPN Protocols/07 - OpenVPN.mp4 2.9 MB

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【影视】 Learning To Drive (2014) [BluRay] [720p] [YTS.LT]

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Learning.To.Drive.2014.720p.BluRay.x264-[YTS.LT].mp4 826.4 MB
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【影视】 [FreeTutorials.Eu] Udemy - Deep Learning & Computer Vision - Build a Self-Driving Car

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14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 399.4 MB
12. Classifying Road Symbols/3. Preprocessing Images.mp4 346.5 MB
14. Behavioural Cloning/2. Collecting Data.mp4 296.1 MB
11. Convolutional Neural Networks/8. Code Implementation I.mp4 266.9 MB
14. Behavioural Cloning/13. Fit Generator.mp4 260.5 MB
9. Multiclass Classification/4. Implementation.mp4 257.2 MB
11. Convolutional Neural Networks/3. Convolutional Layer.mp4 241.0 MB
11. Convolutional Neural Networks/9. Code Implementation II.mp4 223.8 MB
8. Deep Neural Networks/7. Code Implementation.mp4 214.2 MB
14. Behavioural Cloning/7. Defining Nvidia Model.mp4 208.2 MB
10. MNIST Image Recognition/5. Implementation Part 1.mp4 203.4 MB
7. Keras/4. Keras Models.mp4 183.8 MB
14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 174.0 MB
5. Computer Vision Finding Lane Lines/11. Optimizing.mp4 172.5 MB
11. Convolutional Neural Networks/5. Pooling.mp4 169.8 MB
14. Behavioural Cloning/6. Preprocessing Images.mp4 169.6 MB
12. Classifying Road Symbols/8. Fit Generator.mp4 167.6 MB
10. MNIST Image Recognition/6. Implementation Part 2.mp4 163.5 MB
7. Keras/5. Keras - Predictions.mp4 151.5 MB
9. Multiclass Classification/2. Softmax.mp4 148.6 MB

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【影视】 Brooklyn Chase & Gianna Gem - Learning To Fuck With My Step-Parents (31.05.2019)_480p.mp4

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Brooklyn Chase & Gianna Gem - Learning To Fuck With My Step-Parents (31.05.2019)_480p.mp4 463.6 MB

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【影视】 [CourseClub.ME] AppliedAICourse - Applied Machine Learning Course

收录时间:2021-03-08 文档个数:4809 文档大小:27.2 GB 最近下载:2025-05-15 人气:7810 磁力链接

1.1 - How to Learn from Appliedaicourse/1.1 - How to Learn from Appliedaicourse.mp4 465.1 MB
34.2 - Productionization and deployment of Machine Learning Models/34.2 - Productionization and deployment of Machine Learning Models.mp4.mkv 280.3 MB
1.2 - How the Job Guarantee program works/1.2 - How the Job Guarantee program works.mp4 255.7 MB
5.1 - Numpy Introduction/5.1 - Numpy Introduction.mp4 164.7 MB
5.2 - Numerical operations on Numpy/5.2 - Numerical operations on Numpy.mp4 163.6 MB
45.9 - Univariate AnalysisGene feature/45.9 - Univariate AnalysisGene feature.mp4 151.2 MB
3.1 - Lists/3.1 - Lists.mp4 148.1 MB
49.6 - Softmax Classifier on MNIST dataset/49.6 - Softmax Classifier on MNIST dataset..mp4 146.9 MB
57.26 - Data Control Language GRANT, REVOKE/57.26 - Data Control Language GRANT, REVOKE.mp4 145.4 MB
51.6 - LSTM/51.6 - LSTM..mp4 143.8 MB
54.4 - Char-RNN with abc-notation Data preparation/54.4 - Char-RNN with abc-notation Data preparation..mp4 138.1 MB
41.9 - EDA Advanced Feature Extraction/41.9 - EDA Advanced Feature Extraction.mp4 137.7 MB
51.10 - Code example IMDB Sentiment classification/51.10 - Code example IMDB Sentiment classification.mp4 128.7 MB
23.5 - Naive Bayes algorithm/23.5 - Naive Bayes algorithm.mp4 122.4 MB
42.13 - Code for bag of words based product similarity/42.13 - Code for bag of words based product similarity.mp4 122.0 MB
50.2 - ConvolutionEdge Detection on images/50.2 - ConvolutionEdge Detection on images..mp4 121.6 MB
23.6 - Toy example Train and test stages/23.6 - Toy example Train and test stages.mp4 121.5 MB
45.13 - Baseline Model Naive Bayes/45.13 - Baseline Model Naive Bayes.mp4 121.0 MB
53.12 - Test and visualize the output/53.12 - Test and visualize the output..mp4 119.3 MB
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