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[FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp

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种子名称: [FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp
文件类型: 视频
文件数目: 115个文件
文件大小: 4.87 GB
收录时间: 2020-1-1 20:41
已经下载: 3
资源热度: 144
最近下载: 2024-11-2 14:58

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[FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp.torrent
  • 1. Introduction to Machine Learning + Software/1. Projects Overview.mp47.03MB
  • 10. Building Apps With Machine Learning/1. Introduction - Improving Model Efficiency.mp427.84MB
  • 10. Building Apps With Machine Learning/3. Introduction to Tensorflow Lite.mp440.85MB
  • 11. Text Summarizer/1. Introduction.mp420.18MB
  • 11. Text Summarizer/2. Exploring How Model Is Built.mp464.88MB
  • 11. Text Summarizer/3. Exploring Training and Summarizing Mechanisms.mp446.5MB
  • 11. Text Summarizer/4. Exploring Training and Summarizing Code.mp436.77MB
  • 11. Text Summarizer/5. Testing the Model.mp424.47MB
  • 12. Object Localization/1. Introductions.mp415.51MB
  • 12. Object Localization/2. Examining Project Code.mp473.51MB
  • 12. Object Localization/3. Testing with a Mobile Device.mp434.17MB
  • 13. Object Recognition/1. Introduction.mp415.23MB
  • 13. Object Recognition/2. Examining Code.mp4110.63MB
  • 13. Object Recognition/3. Testing on Mobile Device.mp428.7MB
  • 14. Introduction to Tensorboard/1. Introduction to Upcoming Projects.mp411.24MB
  • 14. Introduction to Tensorboard/2. Examining Computational Graph In Tensorboard.mp463.01MB
  • 14. Introduction to Tensorboard/3. Analyzing Scalars and Histograms.mp455.12MB
  • 14. Introduction to Tensorboard/4. Modifying Model Parameters Across Multiple Runs.mp450.55MB
  • 15. Advanced Machine Learning Concepts/1. Introduction to Upcoming Projects.mp499.47MB
  • 16. Advanced MNIST/1. Project Demonstration.mp415.26MB
  • 16. Advanced MNIST/10. Load and Display Digit Images.mp429.58MB
  • 16. Advanced MNIST/11. Formatting Model Input.mp460.9MB
  • 16. Advanced MNIST/12. Displaying Results and Summary.mp451.59MB
  • 16. Advanced MNIST/2. Project Overview.mp411.71MB
  • 16. Advanced MNIST/3. Building Neuron Functions.mp431.84MB
  • 16. Advanced MNIST/4. Building the Convolutional Layers.mp449.24MB
  • 16. Advanced MNIST/5. Building Dense, Dropout, and Readout Layers.mp467.65MB
  • 16. Advanced MNIST/6. Writing Loss and Optimizer Functions and Training and Testing.mp492.58MB
  • 16. Advanced MNIST/7. Optimizing Saved Graph.mp442.35MB
  • 16. Advanced MNIST/8. Setting up Android Project.mp451.81MB
  • 16. Advanced MNIST/9. Setting Up UI.mp450.96MB
  • 17. Advanced CIFAR 100/1. Project Demo.mp413.54MB
  • 17. Advanced CIFAR 100/10. Project Summary.mp441.83MB
  • 17. Advanced CIFAR 100/2. Project Overview.mp411.37MB
  • 17. Advanced CIFAR 100/3. Inputting and Formatting Data.mp438.7MB
  • 17. Advanced CIFAR 100/4. Building the Model.mp442.57MB
  • 17. Advanced CIFAR 100/5. Training, Testing, and Freezing the Model.mp441.11MB
  • 17. Advanced CIFAR 100/6. Setting up Android Project.mp442.89MB
  • 17. Advanced CIFAR 100/7. Building User Interface.mp437.71MB
  • 17. Advanced CIFAR 100/8. Loading and Displaying Images.mp430.82MB
  • 17. Advanced CIFAR 100/9. Converting Image Data and Running Inference.mp433.25MB
  • 18. Introduction to iOS/1. Introduction to iOS.mp46.48MB
  • 19. Introduction to Xcode/1. Downloading and Installing Xcode.mp423.27MB
  • 19. Introduction to Xcode/2. Exploring XCode's Interface.mp449.71MB
  • 2. Android Studio/1. Downloading and Installing Android Studio.mp427.57MB
  • 2. Android Studio/2. Exploring Interface.mp444.88MB
  • 2. Android Studio/3. Setting up an Emulator and Running Project.mp427.85MB
  • 20. Coding Crash Course - Swift Programming Language/1. Variables.mp429.13MB
  • 20. Coding Crash Course - Swift Programming Language/2. Variable Operations.mp442.92MB
  • 20. Coding Crash Course - Swift Programming Language/3. Collections.mp432.08MB
  • 20. Coding Crash Course - Swift Programming Language/4. Control Flow.mp437.8MB
  • 20. Coding Crash Course - Swift Programming Language/5. Functions.mp420.3MB
  • 20. Coding Crash Course - Swift Programming Language/6. Classes and Objects.mp435.09MB
  • 21. iOS App Development/1. Building App From Start to Finish.mp443.46MB
  • 22. Introduction to CoreML/1. Introduction to CoreML.mp433.19MB
  • 23. iOS Image Recognition/1. Project Demonstration.mp414.17MB
  • 23. iOS Image Recognition/2. Project Setup.mp426.47MB
  • 23. iOS Image Recognition/3. Displaying and Resizing Images.mp439.29MB
  • 23. iOS Image Recognition/4. Converting Image to Pixel Buffer.mp459.78MB
  • 23. iOS Image Recognition/5. Project Summary.mp432.83MB
  • 24. iOS Tensorflow Model Importing/1. Project Introduction.mp414.81MB
  • 24. iOS Tensorflow Model Importing/2. Converting pb to mlmodel File and Setup.mp426.18MB
  • 24. iOS Tensorflow Model Importing/3. Running Inference Through Model.mp440.31MB
  • 24. iOS Tensorflow Model Importing/4. Testing and Summary.mp416.24MB
  • 25. Starting Projects in Pandas/2. Setting up Pandas.mp412.76MB
  • 26. Working With Data Structures/1. Creating a DataFrame.mp496.35MB
  • 26. Working With Data Structures/2. Sorting and Series.mp487.61MB
  • 26. Working With Data Structures/3. Expanding a Dataframe.mp486.13MB
  • 27. Manipulating DataFrames/1. Getting Values and dealing with NaN Values.mp4107.1MB
  • 27. Manipulating DataFrames/2. Dropping rows and columns.mp4127.61MB
  • 28. Reading and Writing Data/1. Reading from CSV.mp487.18MB
  • 28. Reading and Writing Data/2. Writing to CSV.mp4106.74MB
  • 29. Analytical Approaches to Data/1. Starting with an analysis.mp4108.84MB
  • 29. Analytical Approaches to Data/2. Locating data by labels.mp4108.81MB
  • 29. Analytical Approaches to Data/3. Statistical description of data.mp4108.92MB
  • 29. Analytical Approaches to Data/4. Histogram plots in pandas.mp4117.97MB
  • 29. Analytical Approaches to Data/5. Starting an analysis of all our data.mp4105.53MB
  • 29. Analytical Approaches to Data/6. Continuing an analysis of all our data.mp491.09MB
  • 3. Java/1. Intro to Language Basics.mp410.31MB
  • 3. Java/10. Parameters and Return Values.mp427.08MB
  • 3. Java/11. Classes and Objects Intro.mp437MB
  • 3. Java/12. Superclass and Subclasses.mp441.05MB
  • 3. Java/13. Static Variables and Axis Modifiers.mp429MB
  • 3. Java/2. Variable Types.mp441.75MB
  • 3. Java/3. Operations on Variables.mp435.14MB
  • 3. Java/4. Array and Lists.mp428.61MB
  • 3. Java/5. Array and List Operations.mp429.62MB
  • 3. Java/6. If and Switch Statements.mp440.37MB
  • 3. Java/7. While Loops.mp426.9MB
  • 3. Java/8. For Loops.mp426.34MB
  • 3. Java/9. Functions Intro.mp428.55MB
  • 4. App Development/1. Intro To Android App Development.mp47.37MB
  • 4. App Development/2. Building Basic UI.mp456.12MB
  • 4. App Development/3. Connecting UI to Backend.mp424.91MB
  • 4. App Development/4. Implementing Backend and Tidying UI.mp437.82MB
  • 6. Pycharm/1. Project Overview.mp47.07MB
  • 7. Introduction/1. Downloading and Installing Pycharm and Python.mp426.12MB
  • 7. Introduction/2. Exploring Pycharm.mp423.24MB
  • 8. Python Language Basics/1. Introduction to Variables.mp434.8MB
  • 8. Python Language Basics/2. Variables Operations and Conversions.mp440.53MB
  • 8. Python Language Basics/3. Collection Types.mp436.46MB
  • 8. Python Language Basics/4. Collections Operations.mp432.06MB
  • 8. Python Language Basics/5. Control Flow If Statements.mp439.91MB
  • 8. Python Language Basics/6. While and For Loops.mp435.05MB
  • 8. Python Language Basics/7. Functions.mp433.34MB
  • 8. Python Language Basics/8. Classes and Objects.mp443.6MB
  • 9. Tensorflow/1. Project Demo.mp413.05MB
  • 9. Tensorflow/2. Topics List.mp418.25MB
  • 9. Tensorflow/3. Importing Tensorflow to Pycharm.mp415.03MB
  • 9. Tensorflow/4. Constant Nodes and Sessions.mp424.11MB
  • 9. Tensorflow/5. Variable Nodes.mp438.89MB
  • 9. Tensorflow/6. Placeholder Nodes.mp428.23MB
  • 9. Tensorflow/7. Operation nodes.mp450.72MB
  • 9. Tensorflow/8. Loss, Optimizers, and Training.mp445.04MB
  • 9. Tensorflow/9. Building a Linear Regression Model.mp477.08MB