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[ ] Linkedin - Full-Stack Deep Learning with Python

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  • 文件大小:431MB
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文件列表

  1. ~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/datasets/emnist-letters-train.csv 164MB
  2. ~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/datasets/emnist-letters-test.csv 27MB
  3. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/02 - Configuring and training the model using MLflow runs.mp4 16MB
  4. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/03 - Visualizing charts, metrics, and parameters on MLflow.mp4 15MB
  5. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/05 - Hyperparameter optimization with Hyperopt and MLflow.mp4 14MB
  6. ~Get Your Files Here !/05 - 4. Model Deployment and Predictions/03 - Deploying and serving the model locally.mp4 14MB
  7. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/04 - Setting up the environment on Google Colab.mp4 13MB
  8. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/04 - Setting up the objective function for hyperparameter tuning.mp4 12MB
  9. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/07 - Making predictions using MLflow artifacts.mp4 11MB
  10. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/05 - Training a model within an MLflow run.mp4 11MB
  11. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/02 - Logging metrics, parameters, and artifacts in MLflow.mp4 11MB
  12. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/04 - Configuring the image classification DNN model.mp4 10MB
  13. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/05 - Running MLflow and using ngrok to access the MLflow UI.mp4 10MB
  14. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/01 - Loading and exploring the EMNIST dataset.mp4 10MB
  15. ~Get Your Files Here !/01 - Introduction/01 - Full-stack deep learning, MLOps, and MLflow.mp4 10MB
  16. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/01 - Preparing data for image classification using CNN.mp4 10MB
  17. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/06 - Exploring parameters and metrics in MLflow.mp4 9MB
  18. ~Get Your Files Here !/05 - 4. Model Deployment and Predictions/01 - Setting up MLflow on the local machine.mp4 8MB
  19. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/06 - Identifying the best model.mp4 8MB
  20. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/01 - Introducing full-stack deep learning.mp4 8MB
  21. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/03 - Set up the dataset and data loader.mp4 7MB
  22. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/02 - Introducing MLOps.mp4 7MB
  23. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/03 - Introducing MLflow.mp4 6MB
  24. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/07 - Registering a model with the MLflow registry.mp4 6MB
  25. ~Get Your Files Here !/05 - 4. Model Deployment and Predictions/02 - Workaround to get model artifacts on the local machine.mp4 4MB
  26. ~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/demo_02_EMNISTClassificationUsingCNN.ipynb 3MB
  27. ~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.mp4 2MB
  28. ~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/demo_01_EMNISTClassificationUsingDNN.ipynb 2MB
  29. ~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/ipynb_checkpoints/demo_01_EMNISTClassificationUsingDNN-checkpoint.ipynb 2MB
  30. ~Get Your Files Here !/01 - Introduction/02 - Prerequisites.mp4 899KB
  31. ~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/ipynb_checkpoints/demo_03_ModelDeployment-checkpoint.ipynb 46KB
  32. ~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/demo_03_ModelDeployment.ipynb 38KB
  33. ~Get Your Files Here !/01 - Introduction/01 - Full-stack deep learning, MLOps, and MLflow.srt 13KB
  34. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/03 - Visualizing charts, metrics, and parameters on MLflow.srt 12KB
  35. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/05 - Hyperparameter optimization with Hyperopt and MLflow.srt 12KB
  36. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/01 - Introducing full-stack deep learning.srt 11KB
  37. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/02 - Logging metrics, parameters, and artifacts in MLflow.srt 11KB
  38. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/02 - Configuring and training the model using MLflow runs.srt 11KB
  39. ~Get Your Files Here !/05 - 4. Model Deployment and Predictions/03 - Deploying and serving the model locally.srt 11KB
  40. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/04 - Setting up the objective function for hyperparameter tuning.srt 10KB
  41. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/05 - Running MLflow and using ngrok to access the MLflow UI.srt 10KB
  42. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/04 - Setting up the environment on Google Colab.srt 9KB
  43. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/07 - Making predictions using MLflow artifacts.srt 9KB
  44. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/01 - Loading and exploring the EMNIST dataset.srt 9KB
  45. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/04 - Configuring the image classification DNN model.srt 9KB
  46. ~Get Your Files Here !/05 - 4. Model Deployment and Predictions/01 - Setting up MLflow on the local machine.srt 8KB
  47. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/06 - Exploring parameters and metrics in MLflow.srt 8KB
  48. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/03 - Introducing MLflow.srt 8KB
  49. ~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/02 - Introducing MLOps.srt 8KB
  50. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/05 - Training a model within an MLflow run.srt 7KB
  51. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/01 - Preparing data for image classification using CNN.srt 7KB
  52. ~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/03 - Set up the dataset and data loader.srt 6KB
  53. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/07 - Registering a model with the MLflow registry.srt 6KB
  54. ~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/06 - Identifying the best model.srt 6KB
  55. ~Get Your Files Here !/05 - 4. Model Deployment and Predictions/02 - Workaround to get model artifacts on the local machine.srt 4KB
  56. ~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.srt 3KB
  57. ~Get Your Files Here !/01 - Introduction/02 - Prerequisites.srt 1KB
  58. ~Get Your Files Here !/Bonus Resources.txt 386B
  59. Get Bonus Downloads Here.url 183B