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Category:
Language:
English
Total Size:
1.9 GB
Info Hash:
0FC782361D4B9D92D4AD604705018F0608C3396E
Added By:
Added:
Sept. 11, 2024, 5:49 p.m.
Stats:
|
(Last updated: May 21, 2025, 3:21 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 01. AI Engineering Bootcamp Learn AWS SageMaker with Patrik Szepesi - Zer - 1920x1080 2055K.mp4 | 17.1 MB |
| 02. Course Introduction - Zer - 1920x1080 278K.mp4 | 17.4 MB |
| 03. Setting Up Our AWS Account - Zer - 1920x1080 441K.mp4 | 13.0 MB |
| 04. Set Up IAM Roles + Best Practices - Zer - 1920x1080 484K.mp4 | 23.3 MB |
| 05. AWS Security Best Practices - Zer - 1920x1080 468K.mp4 | 22.0 MB |
| 06. Set Up AWS SageMaker Domain - Zer - 1920x1080 453K.mp4 | 6.5 MB |
| 07. UI Domain Change - Zer - 1920x1080 606K.mp4 | 2.5 MB |
| 08. Setting Up SageMaker Environment - Zer - 1920x1080 416K.mp4 | 13.2 MB |
| 09. SageMaker Studio and Pricing - Zer - 1920x1080 429K.mp4 | 28.4 MB |
| 10. Setup SageMaker Server + PyTorch - Zer - 1920x1080 342K.mp4 | 15.8 MB |
| 11. HuggingFace Models, Sentiment Analysis, and AutoScaling - Zer - 1920x1080 703K.mp4 | 91.8 MB |
| 12. Get Dataset for Multiclass Text Classification - Zer - 1920x1080 337K.mp4 | 14.9 MB |
| 13. Creating Our AWS S3 Bucket - Zer - 1920x1080 445K.mp4 | 12.1 MB |
| 14. Uploading Our Training Data to S3 - Zer - 1920x1080 497K.mp4 | 4.6 MB |
| 15. Exploratory Data Analysis - Part 1 - Zer - 1920x1080 422K.mp4 | 40.0 MB |
| 16. Exploratory Data Analysis - Part 2 - Zer - 1920x1080 323K.mp4 | 13.8 MB |
| 17. Data Visualization and Best Practices - Zer - 1920x1080 296K.mp4 | 26.0 MB |
| 18. Setting Up Our Training Job Notebook + Reasons to Use SageMaker - Zer - 1920x1080 457K.mp4 | 55.7 MB |
| 19. Python Script for HuggingFace Estimator - Zer - 1920x1080 254K.mp4 | 28.2 MB |
| 20. Creating Our Optional Experiment Notebook - Part 1 - Zer - 1920x1080 441K.mp4 | 9.7 MB |
| 21. Creating Our Optional Experiment Notebook - Part 2 - Zer - 1920x1080 747K.mp4 | 18.6 MB |
| 22. Encoding Categorical Labels to Numeric Values - Zer - 1920x1080 453K.mp4 | 39.9 MB |
| 23. Understanding the Tokenization Vocabulary - Zer - 1920x1080 286K.mp4 | 30.1 MB |
| 24. Encoding Tokens - Zer - 1920x1080 318K.mp4 | 25.2 MB |
| 25. Practical Example of Tokenization and Encoding - Zer - 1920x1080 395K.mp4 | 32.7 MB |
| 26. Creating Our Dataset Loader Class - Zer - 1920x1080 390K.mp4 | 44.6 MB |
| 27. Setting Pytorch DataLoader - Zer - 1920x1080 337K.mp4 | 36.7 MB |
| 28. Which Path Will You Take_ - Zer - 1920x1080 227K.mp4 | 2.4 MB |
| 29. DistilBert vs. Bert Differences - Zer - 1920x1080 234K.mp4 | 7.7 MB |
| 30. Embeddings In A Continuous Vector Space - Zer - 1920x1080 240K.mp4 | 12.9 MB |
| 31. Introduction To Positional Encodings - Zer - 1920x1080 229K.mp4 | 8.3 MB |
| 32. Positional Encodings - Part 1 - Zer - 1920x1080 384K.mp4 | 10.1 MB |
| 33. Positional Encodings - Part 2 (Even and Odd Indices) - Zer - 1920x1080 297K.mp4 | 20.9 MB |
| 34. Why Use Sine and Cosine Functions - Zer - 1920x1080 337K.mp4 | 12.2 MB |
| 35. Understanding the Nature of Sine and Cosine Functions - Zer - 1920x1080 419K.mp4 | 26.9 MB |
| 36. Visualizing Positional Encodings in Sine and Cosine Graphs - Zer - 1920x1080 404K.mp4 | 25.2 MB |
| 37. Solving the Equations to Get the Values for Positional Encodings - Zer - 1920x1080 324K.mp4 | 39.2 MB |
| 38. Introduction to Attention Mechanism - Zer - 1920x1080 245K.mp4 | 5.2 MB |
| 39. Query, Key and Value Matrix - Zer - 1920x1080 236K.mp4 | 29.6 MB |
| 40. Getting Started with Our Step by Step Attention Calculation - Zer - 1920x1080 249K.mp4 | 13.0 MB |
| 41. Calculating Key Vectors - Zer - 1920x1080 349K.mp4 | 52.3 MB |
| 42. Query Matrix Introduction - Zer - 1920x1080 293K.mp4 | 23.7 MB |
| 43. Calculating Raw Attention Scores - Zer - 1920x1080 295K.mp4 | 48.0 MB |
| 44. Understanding the Mathematics Behind Dot Products and Vector Alignment - Zer - 1920x1080 328K.mp4 | 31.5 MB |
| 45. Visualizing Raw Attention Scores in 2D - Zer - 1920x1080 310K.mp4 | 13.0 MB |
| 46. Converting Raw Attention Scores to Probability Distributions with Softmax - Zer - 1920x1080 379K.mp4 | 24.0 MB |
| 47. Normalization - Zer - 1920x1080 304K.mp4 | 7.6 MB |
| 48. Understanding the Value Matrix and Value Vector - Zer - 1920x1080 296K.mp4 | 21.3 MB |
| 49. Calculating the Final Context Aware Rich Representation for the Word _River_ - Zer - 1920x1080 430K.mp4 | 33.7 MB |
| 50. Understanding the Output - Zer - 1920x1080 497K.mp4 | 5.4 MB |
| 51. Understanding Multi Head Attention - Zer - 1920x1080 345K.mp4 | 30.0 MB |
| 52. Multi Head Attention Example and Subsequent Layers - Zer - 1920x1080 446K.mp4 | 33.1 MB |
| 53. Masked Language Learning - Zer - 1920x1080 164K.mp4 | 3.2 MB |
| 54. Exercise Imposter Syndrome - Zer - 1920x1080 894K.mp4 | 10.5 MB |
| 55. Creating Our Custom Model Architecture with PyTorch - Zer - 1920x1080 293K.mp4 | 37.2 MB |
| 56. Adding the Dropout, Linear Layer, and ReLU to Our Model - Zer - 1920x1080 317K.mp4 | 33.4 MB |
| 57. Creating Our Accuracy Function - Zer - 1920x1080 296K.mp4 | 28.0 MB |
| 58. Creating Our Train Function - Zer - 1920x1080 355K.mp4 | 47.6 MB |
| 59. Finishing Our Train Function - Zer - 1920x1080 367K.mp4 | 20.5 MB |
| 60. Setting Up the Validation Function - Zer - 1920x1080 354K.mp4 | 34.9 MB |
| 61. Passing Parameters In SageMaker - Zer - 1920x1080 416K.mp4 | 11.4 MB |
| 62. Setting Up Model Parameters For Training - Zer - 1920x1080 296K.mp4 | 9.9 MB |
| 63. Understanding The Mathematics Behind Cross Entropy Loss - Zer - 1920x1080 359K.mp4 | 13.7 MB |
| 64. Finishing Our Script.py File - Zer - 1920x1080 412K.mp4 | 20.8 MB |
| 65. Quota Increase - Zer - 1920x1080 549K.mp4 | 24.8 MB |
| 66. Starting Our Training Job - Zer - 1920x1080 863K.mp4 | 44.5 MB |
| 67. Debugging Our Training Job With AWS CloudWatch - Zer - 1920x1080 606K.mp4 | 58.1 MB |
| 68. Analyzing Our Training Job Results - Zer - 1920x1080 707K.mp4 | 29.7 MB |
| 69. Creating Our Inference Script For Our PyTorch Model - Zer - 1920x1080 324K.mp4 | 19.5 MB |
| 70. Finishing Our PyTorch Inference Script - Zer - 1920x1080 365K.mp4 | 23.4 MB |
| 71. Setting Up Our Deployment - Zer - 1920x1080 476K.mp4 | 26.0 MB |
| 72. Deploying Our Model To A SageMaker Endpoint - Zer - 1920x1080 631K.mp4 | 36.2 MB |
| 73. Introduction to Endpoint Load Testing - Zero To Mastery Academy - 1920x1080 213K.mp4 | 7.9 MB |
| 74. Creating Our Test Data for Load Testing - Zero To Mastery Academy - 1920x1080 230K.mp4 | 18.5 MB |
| 75. Upload Testing Data to S3 - Zero To Mastery Academy - 1920x1080 715K.mp4 | 4.5 MB |
| 76. Creating Our Model for Load Testing - Zero To Mastery Academy - 1920x1080 782K.mp4 | 18.8 MB |
| 77. Starting Our Load Test Job - Zero To Mastery Academy - 1920x1080 621K.mp4 | 27.5 MB |
| 78. Analyze Load Test Results - Zero To Mastery Academy - 1920x1080 425K.mp4 | 28.2 MB |
| 79. Deploying Our Endpoint - Zero To Mastery Academy - 1920x1080 538K.mp4 | 14.4 MB |
| 80. Creating Lambda Function to Call Our Endpoint - Zero To Mastery Academy - 1920x1080 412K.mp4 | 28.2 MB |
| 81. Setting Up Our AWS API Gateway - Zero To Mastery Academy - 1920x1080 449K.mp4 | 15.9 MB |
| 82. Testing Our Model with Postman, API Gateway and Lambda - Zero To Mastery Academy - 1920x1080 518K.mp4 | 20.0 MB |
| 83. Cleaning Up Resources - Zero To Mastery Academy - 1920x1080 421K.mp4 | 8.3 MB |
| 84. Thank You! - Zero To Mastery Academy - 1920x1080 1046K.mp4 | 4.3 MB |
| AI Engineering Bootcamp Build, Train & Deploy Models with AWS SageMaker.txt | 3.3 KB |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
-
824.4 MB
[20
/
3]
2025-01-13
| Uploaded by FreeCourseWeb | Size 824.4 MB | Health [ 20 /3 ] | Added 2025-01-13 |
-
1.9 GB
[33
/
0]
2024-09-11
| Uploaded by FreeCourseWeb | Size 1.9 GB | Health [ 33 /0 ] | Added 2024-09-11 |
NOTE
SOURCE: ZerotoMastery AI Engineering Bootcamp Build Train and Deploy Models with AWS SageMaker
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