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

File Name

Size

Get Bonus Downloads Here.url

183 B

~Get Your Files Here !/01 - Introduction/01 - Full-stack deep learning, MLOps, and MLflow.mp4

9.8 MB

~Get Your Files Here !/01 - Introduction/01 - Full-stack deep learning, MLOps, and MLflow.srt

12 kB

~Get Your Files Here !/01 - Introduction/02 - Prerequisites.mp4

899 kB

~Get Your Files Here !/01 - Introduction/02 - Prerequisites.srt

1.1 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/01 - Introducing full-stack deep learning.mp4

7.8 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/01 - Introducing full-stack deep learning.srt

11 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/02 - Introducing MLOps.mp4

6.6 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/02 - Introducing MLOps.srt

7.6 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/03 - Introducing MLflow.mp4

6.3 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/03 - Introducing MLflow.srt

7.9 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/04 - Setting up the environment on Google Colab.mp4

13 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/04 - Setting up the environment on Google Colab.srt

9.2 kB

~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

10 MB

~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

9.7 kB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/01 - Loading and exploring the EMNIST dataset.mp4

9.9 MB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/01 - Loading and exploring the EMNIST dataset.srt

8.8 kB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/02 - Logging metrics, parameters, and artifacts in MLflow.mp4

11 MB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/02 - Logging metrics, parameters, and artifacts in MLflow.srt

11 kB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/03 - Set up the dataset and data loader.mp4

6.9 MB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/03 - Set up the dataset and data loader.srt

6.4 kB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/04 - Configuring the image classification DNN model.mp4

10 MB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/04 - Configuring the image classification DNN model.srt

8.7 kB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/05 - Training a model within an MLflow run.mp4

11 MB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/05 - Training a model within an MLflow run.srt

7.0 kB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/06 - Exploring parameters and metrics in MLflow.mp4

9.0 MB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/06 - Exploring parameters and metrics in MLflow.srt

7.9 kB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/07 - Making predictions using MLflow artifacts.mp4

11 MB

~Get Your Files Here !/03 - 2. Model Training and Evaluation Using MLflow/07 - Making predictions using MLflow artifacts.srt

8.8 kB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/01 - Preparing data for image classification using CNN.mp4

9.7 MB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/01 - Preparing data for image classification using CNN.srt

6.9 kB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/02 - Configuring and training the model using MLflow runs.mp4

16 MB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/02 - Configuring and training the model using MLflow runs.srt

11 kB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/03 - Visualizing charts, metrics, and parameters on MLflow.mp4

15 MB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/03 - Visualizing charts, metrics, and parameters on MLflow.srt

12 kB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/04 - Setting up the objective function for hyperparameter tuning.mp4

12 MB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/04 - Setting up the objective function for hyperparameter tuning.srt

9.8 kB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/05 - Hyperparameter optimization with Hyperopt and MLflow.mp4

14 MB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/05 - Hyperparameter optimization with Hyperopt and MLflow.srt

12 kB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/06 - Identifying the best model.mp4

7.8 MB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/06 - Identifying the best model.srt

6.0 kB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/07 - Registering a model with the MLflow registry.mp4

5.7 MB

~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/07 - Registering a model with the MLflow registry.srt

6.0 kB

~Get Your Files Here !/05 - 4. Model Deployment and Predictions/01 - Setting up MLflow on the local machine.mp4

8.2 MB

~Get Your Files Here !/05 - 4. Model Deployment and Predictions/01 - Setting up MLflow on the local machine.srt

8.4 kB

~Get Your Files Here !/05 - 4. Model Deployment and Predictions/02 - Workaround to get model artifacts on the local machine.mp4

4.3 MB

~Get Your Files Here !/05 - 4. Model Deployment and Predictions/02 - Workaround to get model artifacts on the local machine.srt

3.9 kB

~Get Your Files Here !/05 - 4. Model Deployment and Predictions/03 - Deploying and serving the model locally.mp4

14 MB

~Get Your Files Here !/05 - 4. Model Deployment and Predictions/03 - Deploying and serving the model locally.srt

11 kB

~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.mp4

2.5 MB

~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.srt

3.2 kB

~Get Your Files Here !/Bonus Resources.txt

386 B

~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/datasets/emnist-letters-test.csv

27 MB

~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/datasets/emnist-letters-train.csv

164 MB

~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/demo_01_EMNISTClassificationUsingDNN.ipynb

1.7 MB

~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/demo_02_EMNISTClassificationUsingCNN.ipynb

3.1 MB

~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/demo_03_ModelDeployment.ipynb

38 kB

~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/ipynb_checkpoints/demo_01_EMNISTClassificationUsingDNN-checkpoint.ipynb

1.7 MB

~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/ipynb_checkpoints/demo_03_ModelDeployment-checkpoint.ipynb

46 kB