FreeCourseWeb com Linkedin Full Stack Deep Learning with Python |
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[ FreeCourseWeb.com ] Linkedin - Full-Stack Deep Learning with Python |
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Total Size |
452.1 MB |
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Total Files |
59 |
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Last Seen |
2025-07-18 00:09 |
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Hash |
D9FCDBD577A3E325E97E35C113AA74AD0C683F7F |
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/01 - Introduction/ |
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10.3 MB |
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12.8 KB |
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920.4 KB |
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1.1 KB |
/.../02 - 1. An Overview of Full-Stack Deep Learning/ |
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8.2 MB |
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11.6 KB |
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6.9 MB |
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7.8 KB |
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6.6 MB |
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8.1 KB |
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13.7 MB |
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9.4 KB |
05 - Running MLflow and using ngrok to access the MLflow UI.mp4 |
10.8 MB |
05 - Running MLflow and using ngrok to access the MLflow UI.srt |
10.0 KB |
/.../03 - 2. Model Training and Evaluation Using MLflow/ |
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10.4 MB |
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9.0 KB |
02 - Logging metrics, parameters, and artifacts in MLflow.mp4 |
11.6 MB |
02 - Logging metrics, parameters, and artifacts in MLflow.srt |
11.2 KB |
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7.2 MB |
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6.6 KB |
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11.0 MB |
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8.9 KB |
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11.7 MB |
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7.2 KB |
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9.5 MB |
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8.1 KB |
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11.9 MB |
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9.0 KB |
/.../04 - 3. Model Training and Hyperparameter Tuning/ |
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10.2 MB |
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7.1 KB |
02 - Configuring and training the model using MLflow runs.mp4 |
16.3 MB |
02 - Configuring and training the model using MLflow runs.srt |
11.1 KB |
03 - Visualizing charts, metrics, and parameters on MLflow.mp4 |
16.0 MB |
03 - Visualizing charts, metrics, and parameters on MLflow.srt |
12.2 KB |
04 - Setting up the objective function for hyperparameter tuning.mp4 |
13.0 MB |
04 - Setting up the objective function for hyperparameter tuning.srt |
10.1 KB |
05 - Hyperparameter optimization with Hyperopt and MLflow.mp4 |
14.6 MB |
05 - Hyperparameter optimization with Hyperopt and MLflow.srt |
11.9 KB |
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8.2 MB |
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6.1 KB |
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6.0 MB |
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6.2 KB |
/.../05 - 4. Model Deployment and Predictions/ |
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8.6 MB |
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8.6 KB |
02 - Workaround to get model artifacts on the local machine.mp4 |
4.5 MB |
02 - Workaround to get model artifacts on the local machine.srt |
4.0 KB |
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14.4 MB |
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10.9 KB |
/06 - Conclusion/ |
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2.6 MB |
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3.3 KB |
/~Get Your Files Here !/ |
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0.4 KB |
/.../Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/datasets/ |
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28.6 MB |
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171.6 MB |
/.../Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/ |
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1.7 MB |
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3.3 MB |
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38.6 KB |
/.../Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/ipynb_checkpoints/ |
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1.7 MB |
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47.4 KB |
Total files 59 |
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