[ WebToolTip.com ] Full-Stack Deep Learning with Python (2026)

File Name

Size

Get Bonus Downloads Here.url

180 B

~Get Your Files Here !/01 - Introduction/01 - Full-stack landscape and strategy.mp4

6.2 MB

~Get Your Files Here !/01 - Introduction/01 - Full-stack landscape and strategy.srt

8.5 kB

~Get Your Files Here !/01 - Introduction/02 - Full-stack deep learning MLOps and MLflow.mp4

8.5 MB

~Get Your Files Here !/01 - Introduction/02 - Full-stack deep learning MLOps and MLflow.srt

10 kB

~Get Your Files Here !/01 - Introduction/03 - Prerequisites.mp4

870 kB

~Get Your Files Here !/01 - Introduction/03 - Prerequisites.srt

1.1 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/01 - Components Planning and data collection.mp4

8.1 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/01 - Components Planning and data collection.srt

12 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/02 - Components Model training and deployment.mp4

5.2 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/02 - Components Model training and deployment.srt

6.9 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/03 - Artifacts in full-stack deep learning.mp4

3.4 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/03 - Artifacts in full-stack deep learning.srt

4.4 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/04 - Tools Compute, orchestration, and experiments.mp4

5.7 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/04 - Tools Compute, orchestration, and experiments.srt

7.7 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/05 - Tools Versioning, labeling, and feature stores.mp4

4.8 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/05 - Tools Versioning, labeling, and feature stores.srt

6.6 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/06 - Tools Deep learning frameworks and debugging.mp4

5.5 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/06 - Tools Deep learning frameworks and debugging.srt

6.9 kB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/07 - Tools APIs, UIs, CICD, and monitoring.mp4

7.0 MB

~Get Your Files Here !/02 - 1. An Overview of Full-Stack Deep Learning/07 - Tools APIs, UIs, CICD, and monitoring.srt

9.2 kB

~Get Your Files Here !/03 - 2. MLOps with MLflow/01 - Machine learning operations (MLOps).mp4

8.5 MB

~Get Your Files Here !/03 - 2. MLOps with MLflow/01 - Machine learning operations (MLOps).srt

9.8 kB

~Get Your Files Here !/03 - 2. MLOps with MLflow/02 - Managing the ML lifecycle with MLflow.mp4

6.3 MB

~Get Your Files Here !/03 - 2. MLOps with MLflow/02 - Managing the ML lifecycle with MLflow.srt

7.2 kB

~Get Your Files Here !/03 - 2. MLOps with MLflow/03 - Setting up the environment on Google Colab.mp4

17 MB

~Get Your Files Here !/03 - 2. MLOps with MLflow/03 - Setting up the environment on Google Colab.srt

9.2 kB

~Get Your Files Here !/03 - 2. MLOps with MLflow/04 - Running MLflow and using ngrok to access the MLflow UI.mp4

13 MB

~Get Your Files Here !/03 - 2. MLOps with MLflow/04 - Running MLflow and using ngrok to access the MLflow UI.srt

11 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/01 - Loading and exploring the EMNIST dataset.mp4

12 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/01 - Loading and exploring the EMNIST dataset.srt

8.7 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/02 - Logging metrics parameters and artifacts in MLflow.mp4

16 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/02 - Logging metrics parameters and artifacts in MLflow.srt

13 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/03 - Set up the dataset and data loader.mp4

8.4 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/03 - Set up the dataset and data loader.srt

6.1 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/04 - Configuring the image classification DNN model.mp4

11 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/04 - Configuring the image classification DNN model.srt

8.1 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/05 - Training a model within an MLflow run.mp4

12 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/05 - Training a model within an MLflow run.srt

6.0 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/06 - Exploring parameters and metrics in MLflow.mp4

11 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/06 - Exploring parameters and metrics in MLflow.srt

9.4 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/07 - Making predictions using MLflow artifacts.mp4

13 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/07 - Making predictions using MLflow artifacts.srt

9.2 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/08 - Preparing data for image classification using CNN.mp4

11 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/08 - Preparing data for image classification using CNN.srt

6.4 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/09 - Configuring and training the model using MLflow runs.mp4

16 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/09 - Configuring and training the model using MLflow runs.srt

10 kB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/10 - Visualizing charts metrics and parameters on MLflow.mp4

17 MB

~Get Your Files Here !/04 - 3. Model Training and Evaluation Using MLflow/10 - Visualizing charts metrics and parameters on MLflow.srt

12 kB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/01 - Setting up the objective function for hyperparameter tuning.mp4

15 MB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/01 - Setting up the objective function for hyperparameter tuning.srt

11 kB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/02 - Hyperparameter optimization with Optuna and MLflow.mp4

16 MB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/02 - Hyperparameter optimization with Optuna and MLflow.srt

12 kB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/03 - Identifying the best model.mp4

7.2 MB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/03 - Identifying the best model.srt

5.1 kB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/04 - Registering a model with the MLflow registry.mp4

7.3 MB

~Get Your Files Here !/05 - 4. Hyperparameter Tuning with Optuna/04 - Registering a model with the MLflow registry.srt

6.4 kB

~Get Your Files Here !/06 - 5. Model Deployment and Predictions/01 - Setting up MLflow on the local machine.mp4

9.4 MB

~Get Your Files Here !/06 - 5. Model Deployment and Predictions/01 - Setting up MLflow on the local machine.srt

8.9 kB

~Get Your Files Here !/06 - 5. Model Deployment and Predictions/02 - Workaround to get model artifacts on local machine.mp4

5.1 MB

~Get Your Files Here !/06 - 5. Model Deployment and Predictions/02 - Workaround to get model artifacts on local machine.srt

4.3 kB

~Get Your Files Here !/06 - 5. Model Deployment and Predictions/03 - Deploying and serving the model locally.mp4

14 MB

~Get Your Files Here !/06 - 5. Model Deployment and Predictions/03 - Deploying and serving the model locally.srt

10 kB

~Get Your Files Here !/07 - Conclusion/01 - Summary and next steps.mp4

2.9 MB

~Get Your Files Here !/07 - Conclusion/01 - Summary and next steps.srt

3.3 kB

~Get Your Files Here !/Bonus Resources.txt

70 B

~Get Your Files Here !/Ex_Files_FullStack_Deep_Learning/ExerciseFiles/datasets/emnist-letters-test.csv

27 MB

~Get Your Files Here !/Ex_Files_FullStack_Deep_Learning/ExerciseFiles/datasets/emnist-letters-train.csv

164 MB

~Get Your Files Here !/Ex_Files_FullStack_Deep_Learning/ExerciseFiles/demo_01_EMNISTClassificationUsingDNN.ipynb

1.7 MB

~Get Your Files Here !/Ex_Files_FullStack_Deep_Learning/ExerciseFiles/demo_02_EMNISTClassificationUsingCNN.ipynb

1.5 MB

~Get Your Files Here !/Ex_Files_FullStack_Deep_Learning/ExerciseFiles/demo_03_ModelDeployment.ipynb

41 kB