Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size5.9 GB
- Uploaded ByFclab
- Downloads93
- Last checkedOct. 23rd '18
- Date uploadedOct. 22nd '18
- Seeders 8
- Leechers35
Infohash : 730901AC1D1AA5BF7599B4BF2F5712C4795318D3
Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp 
Dive into a world of data science and analysis with a wide range of examples including the CIFAR 100 image dataset, Xcode development for Apple, Swift coding, CoreML, image recognition, and structuring data with pandas.
Files:
[FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp 1. Introduction to Machine Learning + Software- 1. Projects Overview.mp4 (7.0 MB)
- 1. Projects Overview.vtt (2.7 KB)
- 2. Project Resources - Mammoth Interactive.html (0.1 KB)
- 2.1 Project Resources - Mammoth Interactive.zip.zip (435.1 MB)
- 1. Introduction - Improving Model Efficiency.mp4 (27.8 MB)
- 1. Introduction - Improving Model Efficiency.vtt (7.7 KB)
- 2. Project Code - Mammoth Interactive.html (0.1 KB)
- 2.1 01. Project Code - Mammoth Interactive.zip.zip (4.6 KB)
- 3. Introduction to Tensorflow Lite.mp4 (40.8 MB)
- 3. Introduction to Tensorflow Lite.vtt (13.8 KB)
- 1. Introduction.mp4 (20.2 MB)
- 1. Introduction.vtt (8.4 KB)
- 2. Exploring How Model Is Built.mp4 (64.9 MB)
- 2. Exploring How Model Is Built.vtt (17.7 KB)
- 3. Exploring Training and Summarizing Mechanisms.mp4 (46.5 MB)
- 3. Exploring Training and Summarizing Mechanisms.vtt (12.4 KB)
- 4. Exploring Training and Summarizing Code.mp4 (36.8 MB)
- 4. Exploring Training and Summarizing Code.vtt (10.2 KB)
- 5. Testing the Model.mp4 (24.5 MB)
- 5. Testing the Model.vtt (6.8 KB)
- 6. Text Summarizer Pycharm.html (0.1 KB)
- 6.1 Text_Summarizer_Pycharm.zip.zip (17.4 MB)
- 1. Introductions.mp4 (15.5 MB)
- 1. Introductions.vtt (5.5 KB)
- 2. Examining Project Code.mp4 (73.5 MB)
- 2. Examining Project Code.vtt (21.3 KB)
- 3. Testing with a Mobile Device.mp4 (34.2 MB)
- 3. Testing with a Mobile Device.vtt (10.7 KB)
- 1. Introduction.mp4 (15.2 MB)
- 1. Introduction.vtt (4.2 KB)
- 2. Examining Code.mp4 (110.6 MB)
- 2. Examining Code.vtt (31.2 KB)
- 3. Testing on Mobile Device.mp4 (28.7 MB)
- 3. Testing on Mobile Device.vtt (7.6 KB)
- 1. Introduction to Upcoming Projects.mp4 (11.2 MB)
- 1. Introduction to Upcoming Projects.vtt (3.5 KB)
- 2. Examining Computational Graph In Tensorboard.mp4 (63.0 MB)
- 2. Examining Computational Graph In Tensorboard.vtt (18.3 KB)
- 3. Analyzing Scalars and Histograms.mp4 (55.1 MB)
- 3. Analyzing Scalars and Histograms.vtt (17.5 KB)
- 4. Modifying Model Parameters Across Multiple Runs.mp4 (50.5 MB)
- 4. Modifying Model Parameters Across Multiple Runs.vtt (14.5 KB)
- 5. Project Code - Mammoth Interactive.html (0.1 KB)
- 5.1 Project Code - Mammoth Interactive.zip.zip (11.4 MB)
- 1. Introduction to Upcoming Projects.mp4 (99.5 MB)
- 1. Introduction to Upcoming Projects.vtt (25.6 KB)
- 2. Project Code - Mammoth Interactive.html (0.1 KB)
- 2.1 Project Code - Mammoth Interactive.zip.zip (5.3 KB)
- 1. Project Demonstration.mp4 (15.3 MB)
- 1. Project Demonstration.vtt (4.8 KB)
- 10. Load and Display Digit Images.mp4 (29.6 MB)
- 10. Load and Display Digit Images.vtt (7.7 KB)
- 11. Formatting Model Input.mp4 (60.9 MB)
- 11. Formatting Model Input.vtt (17.2 KB)
- 12. Displaying Results and Summary.mp4 (51.6 MB)
- 12. Displaying Results and Summary.vtt (13.4 KB)
- 13. Project Code - Mammoth Interactive.html (0.1 KB)
- 13.1 Project Code - Mammoth Interactive.zip.zip (226.9 MB)
- 2. Project Overview.mp4 (11.7 MB)
- 2. Project Overview.vtt (4.5 KB)
- 3. Building Neuron Functions.mp4 (31.8 MB)
- 3. Building Neuron Functions.vtt (14.7 KB)
- 4. Building the Convolutional Layers.mp4 (49.2 MB)
- 4. Building the Convolutional Layers.vtt (14.9 KB)
- 5. Building Dense, Dropout, and Readout Layers.mp4 (67.7 MB)
- 5. Building Dense, Dropout, and Readout Layers.vtt (18.2 KB)
- 6. Writing Loss and Optimizer Functions and Training and Testing.mp4 (92.6 MB)
- 6. Writing Loss and Optimizer Functions and Training and Testing.vtt (25.3 KB)
- 7. Optimizing Saved Graph.mp4 (42.4 MB)
- 7. Optimizing Saved Graph.vtt (14.1 KB)
- 8. Setting up Android Project.mp4 (51.8 MB)
- 8. Setting up Android Project.vtt (15.7 KB)
- 9. Setting Up UI.mp4 (51.0 MB)
- 9. Setting Up UI.vtt (13.4 KB)
- 1. Project Demo.mp4 (13.5 MB)
- 1. Project Demo.vtt (3.7 KB)
- 10. Project Summary.mp4 (41.8 MB)
- 10. Project Summary.vtt (11.2 KB)
- 11. CIFAR 100 Project Files - Mammoth Interactive.html (0.1 KB)
- 11.1 CIFAR 100 Project Files - Mammoth Interactive.zip.zip (297.9 MB)
- 2. Project Overview.mp4 (11.4 MB)
- 2. Project Overview.vtt (3.9 KB)
- 3. Inputting and Formatting Data.mp4 (38.7 MB)
- 3. Inputting and Formatting Data.vtt (12.9 KB)
- 4. Building the Model.mp4 (42.6 MB)
- 4. Building the Model.vtt (13.0 KB)
- 5. Training, Testing, and Freezing the Model.mp4 (41.1 MB)
- 5. Training, Testing, and Freezing the Model.vtt (13.1 KB)
- 6. Setting up Android Project.mp4 (42.9 MB)
- 6. Setting up Android Project.vtt (12.9 KB)
- 7. Building User Interface.mp4 (37.7 MB)
- 7. Building User Interface.vtt (9.7 KB)
- 8. Loading and Displaying Images.mp4 (30.8 MB)
- 8. Loading and Displaying Images.vtt (8.2 KB)
- 9. Converting Image Data and Running Inference.mp4 (33.3 MB)
- 9. Converting Image Data and Running Inference.vtt (9.1 KB)
- 1. Introduction to iOS.mp4 (6.5 MB)
- 1. Introduction to iOS.vtt (2.8 KB)
- 1. Do
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