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- 【影视】 [GigaCourse.Com] Udemy - Machine Learning A-Z with Python with Project (Beginner)
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收录时间:2022-01-11
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6. Regression/1. Linear Regression.mp4 471.4 MB
4. ntroduction to Python/5. Data Structures.mp4 398.9 MB
4. ntroduction to Python/8. Data Visualisation.mp4 373.4 MB
4. ntroduction to Python/7. Pandas.mp4 360.8 MB
4. ntroduction to Python/6. Numpy.mp4 340.4 MB
7. Classification/1. Logistic Regression.mp4 337.1 MB
7. Classification/2. KNN.mp4 299.8 MB
10. Our Project (Recomendation System)/2. Recommendations System.mp4 297.6 MB
4. ntroduction to Python/4. Python Basics II.mp4 229.6 MB
7. Classification/5. Decision Tree.mp4 227.6 MB
4. ntroduction to Python/3. Python_Basics.mp4 200.2 MB
9. Ensemble ML/2. Boosting.mp4 173.7 MB
10. Our Project (Recomendation System)/1. PCA.mp4 165.5 MB
9. Ensemble ML/1. Bagging.mp4 164.1 MB
8. Clustering/1. K-means.mp4 144.2 MB
4. ntroduction to Python/9. Data Transformation.mp4 126.4 MB
5. Let's dig Machine Learning/1. Machine Learning Intro.mp4 124.7 MB
3. Applied Statistics/8. Hypothesis Testing.mp4 112.7 MB
3. Applied Statistics/7. Probability Distribution.mp4 99.6 MB
2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 91.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z with Python with Project (Beginner)
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6. Regression/1. Linear Regression.mp4 471.4 MB
4. ntroduction to Python/5. Data Structures.mp4 398.9 MB
4. ntroduction to Python/8. Data Visualisation.mp4 373.4 MB
4. ntroduction to Python/7. Pandas.mp4 360.8 MB
4. ntroduction to Python/6. Numpy.mp4 340.4 MB
7. Classification/1. Logistic Regression.mp4 337.1 MB
7. Classification/2. KNN.mp4 299.8 MB
10. Our Project (Recomendation System)/2. Recommendations System.mp4 297.6 MB
4. ntroduction to Python/4. Python Basics II.mp4 229.6 MB
7. Classification/5. Decision Tree.mp4 227.6 MB
4. ntroduction to Python/3. Python_Basics.mp4 200.2 MB
9. Ensemble ML/2. Boosting.mp4 173.7 MB
10. Our Project (Recomendation System)/1. PCA.mp4 165.5 MB
9. Ensemble ML/1. Bagging.mp4 164.1 MB
8. Clustering/1. K-means.mp4 144.2 MB
4. ntroduction to Python/9. Data Transformation.mp4 126.4 MB
5. Let's dig Machine Learning/1. Machine Learning Intro.mp4 124.7 MB
3. Applied Statistics/8. Hypothesis Testing.mp4 112.7 MB
3. Applied Statistics/7. Probability Distribution.mp4 99.6 MB
2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 91.5 MB
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- 【影视】 Data Science using Machine Learning Algorithm with Big Data
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收录时间:2022-05-02
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Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
Data Science using Machine Learning Algorithm with Big Data/8. Data Science/2. Mega Mart Example for Increase Sale.mp4 78.4 MB
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- 【影视】 GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp
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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
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- 【影视】 [DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp
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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
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- 【影视】 GetFreeCourses.Co-Udemy-AWS Lambda and the Serverless Framework - Hands On Learning!
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收录时间:2022-03-13
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10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/004 Adding a Layer Dependency to our Function - Debug Session.mp4 149.8 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/007 Creating a REST API (AWS API Gateway) for Thumbnail Metadata.mp4 147.6 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/006 Update a Todo.mp4 120.8 MB
03 - AWS Lambda & the Serverless Framework - Getting Started/003 Deploying our First Function with Serverless.mp4 108.5 MB
14 - [Hands-on] - Real World Example Service 5 - Email Subscription Architecture/008 Setting up SNS and the Mailer Endpoint.mp4 86.7 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/002 Setup the Thumbnail Generator - Code - Part 1.mp4 85.6 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/002 Creating a Todo - API Endpoint - Saving a Todo Through the API End Point.mp4 84.9 MB
11 - [Hands-on] - Real World Example Service 2 - REST API (Python)/001 REST API with Python - Code Walkthrough.mp4 82.4 MB
11 - [Hands-on] - Real World Example Service 2 - REST API (Python)/002 Testing and Debugging the API.mp4 81.8 MB
08 - AWS Step Functions - An Introduction/005 Choice State - Full Example.mp4 80.9 MB
06 - AWS SAM CLI - Running AWS Lambda Function Locally/002 Creating and Running Our First AWS SAM Application.mp4 80.0 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/005 Setting up DynamoDB for Saving Thumbnail Metadata.mp4 79.2 MB
04 - AWS Lambda & Serverless - Deep Dive/001 Create AWS Lambda Function Using any Runtime.mp4 73.0 MB
03 - AWS Lambda & the Serverless Framework - Getting Started/002 Installing Serverless Framework & Setting up an AWS Profile.mp4 73.0 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/001 Getting Started with Todo REST API - NodeJS.mp4 70.5 MB
24 - Course Content from AWS Certified Developer Course/033 Lambda External Dependencies - Hands On.mp4 69.0 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/008 Creating Authorized IAM Users For Deleting and Updating Items with Postman.mp4 66.9 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/005 Delete a Todo.mp4 66.7 MB
14 - [Hands-on] - Real World Example Service 5 - Email Subscription Architecture/013 Set up SendEmail and getSubscriber Endpoints.mp4 66.5 MB
14 - [Hands-on] - Real World Example Service 5 - Email Subscription Architecture/015 Scheduling Events with EventBridge and CouldWatchEvent (Schedule).mp4 66.0 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp
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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 116.8 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
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- 【影视】 Artificial Intelligence - Full course with Deep learning
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收录时间:2021-03-15
文档个数:64
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Artificial Intelligence - Full course with Deep learning/1. Full course in single section/24. Deep Learning Using TensorFlow Deep Learning.mp4 678.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/18. Deep Learning Tutorial.mp4 601.6 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/20. TensorFlow Tutorial Deep Learning.mp4 412.2 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/25. TensorFlow Explained Deep Learning Using TensorFlow.mp4 352.6 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/28. TensorFlow Object Detection Realtime Object Detection with TensorFlow.mp4 315.4 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/21. Artificial Neural Network Tutorial Deep Learning With Neural Networks.mp4 291.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/26. Keras Tutorial For Beginners Creating Deep Learning Models.mp4 261.9 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/22. Recurrent Neural Networks (RNN) RNN LSTM Deep Learning.mp4 234.5 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/10. Artificial Intelligence Tutorial for Beginners.mp4 233.5 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/9. Top 10 Applications Of Artificial Intelligence.mp4 205.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/16. What is Deep Learning Deep Learning.mp4 202.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/8. What is Artificial Intelligence Artificial Intelligence.mp4 189.3 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/15. Top 10 Benefits Of Artificial Intelligence.mp4 181.3 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/6. Introduction to Artificial Intelligence Deep Learning Edureka.mp4 179.2 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/23. Convolutional Neural Network (CNN) Convolutional Neural Networks.mp4 177.1 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/14. What is Machine Learning.mp4 175.8 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/13. What Is Artificial Intelligence.mp4 153.3 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/11. Q Learning Explained Reinforcement.mp4 149.5 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/4. Artificial Intelligence.mp4 149.4 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/17. AI vs Machine Learning vs Deep Learning Machine Learning.mp4 147.8 MB
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- 【影视】 Addison-Wesley Professional - Learning Node.js LiveLessons
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收录时间:2017-02-12
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9.3 Learn about core database operations in MySQL.mp4 234.1 MB
8.2 Perform basic Mongodb operations.mp4 206.4 MB
5.5 Explore the async module, a vital component .mp4 173.8 MB
13.4 Write blackbox tests for your API server.mp4 163.8 MB
7.11 Support authentication in NodeJS.mp4 154.7 MB
9.4 Look at our updated application with MySQL.mp4 154.1 MB
12.5 Deploy your app to Azure.mp4 149.1 MB
8.3 Query collections with the “find” method.mp4 145.3 MB
4.3 Support multiple request types in your server.mp4 138.8 MB
6.4 Use HTML templates—the basics.mp4 138.3 MB
7.5 Factorize your code with modules.mp4 116.9 MB
8.6 Add new pages and templates to the app.mp4 112.3 MB
6.3 Serve different file types with our server.mp4 106.1 MB
12.2 Deploy your app to Heroku.mp4 99.7 MB
7.3 Update your app for routing.mp4 97.3 MB
8.4 Update your photo app—setting everything up.mp4 94.2 MB
1.1 Install Node.js.mp4 87.6 MB
8.5 Add the new database operations to the app.mp4 86.4 MB
10.5 Support sessions on multiple servers with memcached.mp4 84.4 MB
7.9 Support POST data, cookies, and sessions.mp4 79.1 MB
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- 【影视】 Oxford-Deep Learning
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收录时间:2017-08-16
文档个数:38
文档大小:5.4 GB
最近下载:2025-04-11
人气:120
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Classes/class1.pdf 1.6 MB
Classes/class2.pdf 178.9 kB
Classes/class3.pdf 172.5 kB
Classes/class4.pdf 70.0 kB
Lectures/Deep Learning Lecture 1- Introduction.mp4 384.1 MB
Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4 319.0 MB
Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4 386.1 MB
Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4 333.5 MB
Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4 337.5 MB
Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4 276.2 MB
Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4 351.0 MB
Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4 352.7 MB
Lectures/Deep Learning Lecture 2- linear models.mp4 291.2 MB
Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4 436.6 MB
Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4 260.3 MB
Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4 378.7 MB
Lectures/Deep Learning Lecture 6- Optimization.mp4 344.4 MB
Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4 262.7 MB
Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4 299.7 MB
Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4 332.6 MB
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Classes/class1.pdf 1.6 MB
Classes/class2.pdf 178.9 kB
Classes/class3.pdf 172.5 kB
Classes/class4.pdf 70.0 kB
Lectures/Deep Learning Lecture 1- Introduction.mp4 384.1 MB
Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4 319.0 MB
Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4 386.1 MB
Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4 333.5 MB
Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4 337.5 MB
Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4 276.2 MB
Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4 351.0 MB
Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4 352.7 MB
Lectures/Deep Learning Lecture 2- linear models.mp4 291.2 MB
Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4 436.6 MB
Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4 260.3 MB
Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4 378.7 MB
Lectures/Deep Learning Lecture 6- Optimization.mp4 344.4 MB
Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4 262.7 MB
Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4 299.7 MB
Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4 332.6 MB
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Oxford-Deep Learning/Classes/class4.pdf 70.0 kB
Oxford-Deep Learning/Classes/class3.pdf 172.5 kB
Oxford-Deep Learning/Practicals/practical2.pdf 173.6 kB
Oxford-Deep Learning/Classes/class2.pdf 178.9 kB
Oxford-Deep Learning/Practicals/practical1.pdf 183.1 kB
Oxford-Deep Learning/Practicals/practical6.pdf 228.4 kB
Oxford-Deep Learning/Practicals/practical3.pdf 253.8 kB
Oxford-Deep Learning/Practicals/practical5.pdf 277.6 kB
Oxford-Deep Learning/Practicals/practical4.pdf 425.1 kB
Oxford-Deep Learning/Classes/class1.pdf 1.6 MB
Oxford-Deep Learning/Lectures/lecture2.pdf 3.3 MB
Oxford-Deep Learning/Lectures/lecture1.pdf 3.8 MB
Oxford-Deep Learning/Lectures/lecture7.pdf 4.2 MB
Oxford-Deep Learning/Lectures/lecture9.pdf 4.2 MB
Oxford-Deep Learning/Lectures/lecture10.pdf 4.2 MB
Oxford-Deep Learning/Lectures/lecture11.pdf 4.8 MB
Oxford-Deep Learning/Lectures/lecture6.pdf 5.4 MB
Oxford-Deep Learning/Lectures/lecture5.pdf 5.7 MB
Oxford-Deep Learning/Lectures/lecture3.pdf 6.0 MB
Oxford-Deep Learning/Lectures/lecture8.pdf 7.0 MB
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- 【影视】 [ FreeCourseWeb.com ] Learn to Build Machine Learning Systems - That Don't Suck
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~Get Your Files Here !/018 - Session 3 - Splitting and Transforming the Data.mp4 423.1 MB
~Get Your Files Here !/016 - Session 1 - Introduction and Initial Setup.mp4 338.6 MB
~Get Your Files Here !/005 - Lesson 5 - The Training Pipeline.mp4 318.1 MB
~Get Your Files Here !/019 - Session 4 - Training the Model.mp4 295.2 MB
~Get Your Files Here !/027 - Session 12 - Deploying From the Pipeline.mp4 241.3 MB
~Get Your Files Here !/006 - Lesson 6 - Building a Custom Inference Process.mp4 196.7 MB
~Get Your Files Here !/011 - Lesson 11 - Production Pipelines in Amazon Web Services.mp4 189.6 MB
~Get Your Files Here !/008 - Lesson 8 - The Endpoint Pipeline.mp4 178.6 MB
~Get Your Files Here !/020 - Session 5 - Custom Training Container.mp4 176.2 MB
~Get Your Files Here !/004 - Lesson 4 - Training the Model.mp4 169.8 MB
~Get Your Files Here !/029 - Session 14 - Building an Inference Pipeline.mp4 167.1 MB
~Get Your Files Here !/022 - Session 7 - Evaluating the Model.mp4 163.6 MB
~Get Your Files Here !/015 - Lesson 15 - Running Pipelines Remotely.mp4 160.0 MB
~Get Your Files Here !/017 - Session 2 - Exploratory Data Analysis.mp4 152.6 MB
~Get Your Files Here !/003 - Lesson 3 - Introduction to Metaflow.mp4 138.7 MB
~Get Your Files Here !/033 - Session 18 - Data Monitoring.mp4 136.3 MB
~Get Your Files Here !/002 - Lesson 2 - Preparing Your Local Environment.mp4 134.5 MB
~Get Your Files Here !/001 - Lesson 1 - Getting Started.mp4 128.6 MB
~Get Your Files Here !/010 - Lesson 10 - The Monitoring Pipeline.mp4 128.5 MB
~Get Your Files Here !/021 - Session 6 - Tuning the Model.mp4 127.5 MB
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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
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25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB
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072 - Preprocessing Image Data (Pinehead NotPinehead).mp4 201.5 MB
091 - DeepRacer - Part 1.mp4 184.0 MB
089 - DeepLens - Part 1.mp4 180.1 MB
057 - Amazon Rekognition (Images) Part 2 - the API.mp4 169.2 MB
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077 - Training an Image Classifier - Part 1 (Pinehead NotPinehead).mp4 132.9 MB
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082 - Deploy an Image Classifier (Pinehead, NotPinehead).mp4 115.9 MB
085 - Create a custom API for inference - Part 2 (Pinehead NotPinehead).mp4 111.1 MB
069 - SageMaker Notebooks.mp4 100.5 MB
046 - Scikit-learn.mp4 98.9 MB
056 - Amazon Rekognition (Images) Part 1.mp4 95.2 MB
047 - S3.mp4 95.0 MB
061 - Amazon Translate.mp4 92.9 MB
049 - Athena.mp4 90.8 MB
068 - Control (Console_SDK_Notebooks).mp4 88.4 MB
036 - Sensitivity and Specificity.mp4 88.3 MB
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4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 199.4 MB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 165.2 MB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 150.8 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4 150.7 MB
9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 148.9 MB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 142.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 138.7 MB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 135.6 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 135.5 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 134.6 MB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 132.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 127.7 MB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 123.3 MB
3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4 102.6 MB
7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 97.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4 95.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4 95.0 MB
9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 92.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 91.0 MB
7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 89.9 MB
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4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 199.4 MB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 165.2 MB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 150.8 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4 150.7 MB
9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 148.9 MB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 142.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 138.7 MB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 135.6 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 135.5 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 134.6 MB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 132.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 127.7 MB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 123.3 MB
3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4 102.6 MB
7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 97.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4 95.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4 95.0 MB
9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 92.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 91.0 MB
7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 89.9 MB
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Tutorials/0405.Viewing And Previewing A Composition.mp4 105.5 MB
Tutorials/1504.Applying Transitions.mp4 105.2 MB
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Working Files/PhotoSpin-assets/bride+flower-girl-animate.psd 100.2 MB
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Tutorials/1702.Basic 3D Animation And Multi-Planing.mp4 74.2 MB
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Tutorials/0903.Using The Clone Stamp Tool.mp4 68.9 MB
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Tutorials/0104.An Overview Of Adobe After Effects - Part 2.mp4 68.3 MB
Tutorials/0502.Animating Transform Properties With Keyframes.mp4 67.9 MB
Tutorials/0503.Creating And Changing Motion Paths.mp4 67.7 MB
Tutorials/1503.Checking Out The Cycore Effects.mp4 67.6 MB
Tutorials/0808.Creating Advanced Animations Using Brainstorm.mp4 67.2 MB
Tutorials/1604.Stabilizing Shaky Video With The Tracker.mp4 67.1 MB
Tutorials/1602.Applying Motion Keyframes To Layers, Objects And Effects.mp4 64.2 MB
Tutorials/2103.Adding Reflections And An Environment Layer.mp4 63.9 MB
Tutorials/0406.Selecting, Moving, Trimming And Splitting Layers.mp4 63.1 MB
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metartx.22.10.06.alice.nekrasova.learning.process.2.4k.mp4 5.3 GB
metartx.22.10.06.alice.nekrasova.learning.process.2.4k.nfo 529 Bytes
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