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Download [ FreeCourseWeb.com ] Linkedin - Full-Stack Deep Learning with Python

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

Total Files

59

Last Seen

2025-07-18 00:09

Hash

D9FCDBD577A3E325E97E35C113AA74AD0C683F7F

/

Get Bonus Downloads Here.url

0.2 KB

/01 - Introduction/

01 - Full-stack deep learning, MLOps, and MLflow.mp4

10.3 MB

01 - Full-stack deep learning, MLOps, and MLflow.srt

12.8 KB

02 - Prerequisites.mp4

920.4 KB

02 - Prerequisites.srt

1.1 KB

/.../02 - 1. An Overview of Full-Stack Deep Learning/

01 - Introducing full-stack deep learning.mp4

8.2 MB

01 - Introducing full-stack deep learning.srt

11.6 KB

02 - Introducing MLOps.mp4

6.9 MB

02 - Introducing MLOps.srt

7.8 KB

03 - Introducing MLflow.mp4

6.6 MB

03 - Introducing MLflow.srt

8.1 KB

04 - Setting up the environment on Google Colab.mp4

13.7 MB

04 - Setting up the environment on Google Colab.srt

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/

01 - Loading and exploring the EMNIST dataset.mp4

10.4 MB

01 - Loading and exploring the EMNIST dataset.srt

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

03 - Set up the dataset and data loader.mp4

7.2 MB

03 - Set up the dataset and data loader.srt

6.6 KB

04 - Configuring the image classification DNN model.mp4

11.0 MB

04 - Configuring the image classification DNN model.srt

8.9 KB

05 - Training a model within an MLflow run.mp4

11.7 MB

05 - Training a model within an MLflow run.srt

7.2 KB

06 - Exploring parameters and metrics in MLflow.mp4

9.5 MB

06 - Exploring parameters and metrics in MLflow.srt

8.1 KB

07 - Making predictions using MLflow artifacts.mp4

11.9 MB

07 - Making predictions using MLflow artifacts.srt

9.0 KB

/.../04 - 3. Model Training and Hyperparameter Tuning/

01 - Preparing data for image classification using CNN.mp4

10.2 MB

01 - Preparing data for image classification using CNN.srt

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

06 - Identifying the best model.mp4

8.2 MB

06 - Identifying the best model.srt

6.1 KB

07 - Registering a model with the MLflow registry.mp4

6.0 MB

07 - Registering a model with the MLflow registry.srt

6.2 KB

/.../05 - 4. Model Deployment and Predictions/

01 - Setting up MLflow on the local machine.mp4

8.6 MB

01 - Setting up MLflow on the local machine.srt

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

03 - Deploying and serving the model locally.mp4

14.4 MB

03 - Deploying and serving the model locally.srt

10.9 KB

/06 - Conclusion/

01 - Summary and next steps.mp4

2.6 MB

01 - Summary and next steps.srt

3.3 KB

/~Get Your Files Here !/

Bonus Resources.txt

0.4 KB

/.../Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/datasets/

emnist-letters-test.csv

28.6 MB

emnist-letters-train.csv

171.6 MB

/.../Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/

demo_01_EMNISTClassificationUsingDNN.ipynb

1.7 MB

demo_02_EMNISTClassificationUsingCNN.ipynb

3.3 MB

demo_03_ModelDeployment.ipynb

38.6 KB

/.../Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/ipynb_checkpoints/

demo_01_EMNISTClassificationUsingDNN-checkpoint.ipynb

1.7 MB

demo_03_ModelDeployment-checkpoint.ipynb

47.4 KB

 

Total files 59


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