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Udemy - Machine Learning Deep Learning model deployment (3.2023)

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File Name
Size
1 - Introduction/1 - Introduction.mp4
15 MB
1 - Introduction/1 - Introduction.vtt
2.9 kB
1 - Introduction/2 - What is a Model.mp4
4.1 MB
1 - Introduction/2 - What is a Model.vtt
1.5 kB
1 - Introduction/3 - How do we create a Model.mp4
7.6 MB
1 - Introduction/3 - How do we create a Model.vtt
2.8 kB
1 - Introduction/4 - Types of Machine Learning.mp4
15 MB
1 - Introduction/4 - Types of Machine Learning.vtt
4.8 kB
10 - MLOps and MLflow/48 - Machine Learning Operations MLOps.mp4
29 MB
10 - MLOps and MLflow/48 - Machine Learning Operations MLOps.vtt
7.1 kB
10 - MLOps and MLflow/49 - MLflow Introduction.mp4
7.0 MB
10 - MLOps and MLflow/49 - MLflow Introduction.vtt
2.2 kB
10 - MLOps and MLflow/50 - MLflow tracking concepts.mp4
4.7 MB
10 - MLOps and MLflow/50 - MLflow tracking concepts.vtt
2.1 kB
10 - MLOps and MLflow/51 - Installing MLflow on Windows and Mac.mp4
57 MB
10 - MLOps and MLflow/51 - Installing MLflow on Windows and Mac.vtt
3.4 kB
10 - MLOps and MLflow/52 - ml-pipeline-mlflow.py.zip
1.3 kB
10 - MLOps and MLflow/52 - Tracking Model training experiments with MLfLow.mp4
199 MB
10 - MLOps and MLflow/52 - Tracking Model training experiments with MLfLow.vtt
9.3 kB
10 - MLOps and MLflow/53 - ml-pipeline-mlflow-autolog.py.zip
984 B
10 - MLOps and MLflow/53 - MLflow autologging.mp4
71 MB
10 - MLOps and MLflow/53 - MLflow autologging.vtt
7.8 kB
10 - MLOps and MLflow/54 - MLflow REST APIs.mp4
19 MB
10 - MLOps and MLflow/54 - MLflow REST APIs.vtt
1.5 kB
10 - MLOps and MLflow/54 - mlflow-python-rest.zip
1.3 kB
10 - MLOps and MLflow/55 - Running MLflow on Colab.mp4
31 MB
10 - MLOps and MLflow/55 - Running MLflow on Colab.vtt
2.7 kB
10 - MLOps and MLflow/55 - running-mlflow-on-colab.zip
5.7 kB
10 - MLOps and MLflow/56 - mlflow-demo-2.zip
875 B
10 - MLOps and MLflow/56 - Running MLFlow on Databricks.mp4
106 MB
10 - MLOps and MLflow/56 - Running MLFlow on Databricks.vtt
9.7 kB
10 - MLOps and MLflow/57 - mlflow-pytorch.zip
7.6 kB
10 - MLOps and MLflow/57 - Tracking PyTorch experiments with MLflow.mp4
30 MB
10 - MLOps and MLflow/57 - Tracking PyTorch experiments with MLflow.vtt
2.4 kB
10 - MLOps and MLflow/58 - Deploying Models with MLflow.mp4
11 MB
10 - MLOps and MLflow/58 - Deploying Models with MLflow.vtt
2.1 kB
10 - MLOps and MLflow/58 - mlflow-deploy.zip
635 B
2 - Building evaluating and saving a Model/5 - Creating a Spyder development environment.mp4
21 MB
2 - Building evaluating and saving a Model/5 - Creating a Spyder development environment.vtt
2.5 kB
2 - Building evaluating and saving a Model/6 - Python NumPy Pandas Matplotlib crash course.mp4
179 MB
2 - Building evaluating and saving a Model/6 - Python NumPy Pandas Matplotlib crash course.vtt
19 kB
2 - Building evaluating and saving a Model/6 - python-np-pd-plt.zip
1.0 kB
2 - Building evaluating and saving a Model/7 - Building and evaluating a Classification Model.mp4
254 MB
2 - Building evaluating and saving a Model/7 - Building and evaluating a Classification Model.vtt
15 kB
2 - Building evaluating and saving a Model/7 - git-hub-link.txt
51 B
2 - Building evaluating and saving a Model/7 - ml-classification.zip
1.1 kB
2 - Building evaluating and saving a Model/8 - Saving the Model and the Scaler.mp4
18 MB
2 - Building evaluating and saving a Model/8 - Saving the Model and the Scaler.vtt
4.4 kB
3 - Deploying the Model in other environments/10 - use-model-colab.zip
2.5 kB
3 - Deploying the Model in other environments/10 - Using the Model in Google Colab environment.mp4
21 MB
3 - Deploying the Model in other environments/10 - Using the Model in Google Colab environment.vtt
4.7 kB
3 - Deploying the Model in other environments/9 - Predicting locally with deserialized Pickle objects.mp4
38 MB
3 - Deploying the Model in other environments/9 - Predicting locally with deserialized Pickle objects.vtt
3.2 kB
3 - Deploying the Model in other environments/9 - use-model.zip
337 B
4 - Creating a REST API for the Machine Learning Model/11 - Flask REST API Hello World.mp4
43 MB
4 - Creating a REST API for the Machine Learning Model/11 - Flask REST API Hello World.vtt
5.1 kB
4 - Creating a REST API for the Machine Learning Model/11 - flask-hello-world.zip
672 B
4 - Creating a REST API for the Machine Learning Model/12 - classifier-rest-service.zip
822 B
4 - Creating a REST API for the Machine Learning Model/12 - Creating a REST API for the Model.mp4
50 MB
4 - Creating a REST API for the Machine Learning Model/12 - Creating a REST API for the Model.vtt
4.0 kB
4 - Creating a REST API for the Machine Learning Model/13 - Signing up for a Google Cloud free trial.mp4
26 MB
4 - Creating a REST API for the Machine Learning Model/13 - Signing up for a Google Cloud free trial.vtt
2.5 kB
4 - Creating a REST API for the Machine Learning Model/14 - classifier-rest-service-on-GCP.zip
898 B
4 - Creating a REST API for the Machine Learning Model/14 - Hosting the Machine Learning REST API on the Cloud.mp4
118 MB
4 - Creating a REST API for the Machine Learning Model/14 - Hosting the Machine Learning REST API on the Cloud.vtt
12 kB
4 - Creating a REST API for the Machine Learning Model/15 - Deleting the VM instance.mp4
3.5 MB
4 - Creating a REST API for the Machine Learning Model/15 - Deleting the VM instance.vtt
852 B
4 - Creating a REST API for the Machine Learning Model/16 - google-cloud-functions-serverless-ml.zip
851 B
4 - Creating a REST API for the Machine Learning Model/16 - Serverless Machine Learning API using Cloud Functions.mp4
76 MB
4 - Creating a REST API for the Machine Learning Model/16 - Serverless Machine Learning API using Cloud Functions.vtt
12 kB
4 - Creating a REST API for the Machine Learning Model/17 - colab-rest-api.zip
4.8 kB
4 - Creating a REST API for the Machine Learning Model/17 - Creating a REST API on Google Colab.mp4
36 MB
4 - Creating a REST API for the Machine Learning Model/17 - Creating a REST API on Google Colab.vtt
4.9 kB
4 - Creating a REST API for the Machine Learning Model/18 - Postman REST client.mp4
12 MB
4 - Creating a REST API for the Machine Learning Model/18 - Postman REST client.vtt
2.3 kB
5 - Deploying Deep Learning Models/19 - Understanding Deep Learning Neural Network.mp4
22 MB
5 - Deploying Deep Learning Models/19 - Understanding Deep Learning Neural Network.vtt
5.7 kB
5 - Deploying Deep Learning Models/20 - Building and deploying PyTorch models.mp4
82 MB
5 - Deploying Deep Learning Models/20 - Building and deploying PyTorch models.vtt
11 kB
5 - Deploying Deep Learning Models/20 - save-export-reload-pytorch-models.zip
11 kB
5 - Deploying Deep Learning Models/21 - Creating a REST API for the PyTorch Model.mp4
59 MB
5 - Deploying Deep Learning Models/21 - Creating a REST API for the PyTorch Model.vtt
2.8 kB
5 - Deploying Deep Learning Models/21 - pytorch-flask.zip
777 B
5 - Deploying Deep Learning Models/22 - Saving loading TensorFlow Keras models.mp4
64 MB
5 - Deploying Deep Learning Models/22 - Saving loading TensorFlow Keras models.vtt
6.4 kB
5 - Deploying Deep Learning Models/22 - tf-serving-save-export.zip
21 kB
5 - Deploying Deep Learning Models/23 - Understanding Docker containers.mp4
5.8 MB
5 - Deploying Deep Learning Models/23 - Understanding Docker containers.vtt
3.2 kB
5 - Deploying Deep Learning Models/24 - Creating a REST API using TensorFlow Model Server.mp4
70 MB
5 - Deploying Deep Learning Models/24 - Creating a REST API using TensorFlow Model Server.vtt
6.1 kB
5 - Deploying Deep Learning Models/24 - tf-model-serving.zip
3.0 kB
5 - Deploying Deep Learning Models/25 - Converting a PyTorch model to TensorFlow format using ONNX.mp4
29 MB
5 - Deploying Deep Learning Models/25 - Converting a PyTorch model to TensorFlow format using ONNX.vtt
3.2 kB
5 - Deploying Deep Learning Models/25 - pytorch-create-save-onnx.zip
7.5 kB
6 - Deploying NLP models for Twitter sentiment analysis/26 - Converting text to numeric values using bagofwords model.mp4
41 MB
6 - Deploying NLP models for Twitter sentiment analysis/26 - Converting text to numeric values using bagofwords model.vtt
5.3 kB
6 - Deploying NLP models for Twitter sentiment analysis/27 - tfidf model for converting text to numeric values.mp4
52 MB
6 - Deploying NLP models for Twitter sentiment analysis/27 - tfidf model for converting text to numeric values.vtt
4.7 kB
6 - Deploying NLP models for Twitter sentiment analysis/28 - Creating and saving text classifier and tfidf models.mp4
88 MB
6 - Deploying NLP models for Twitter sentiment analysis/28 - Creating and saving text classifier and tfidf models.vtt
12 kB
6 - Deploying NLP models for Twitter sentiment analysis/28 - text-classifier.zip.zip
30 kB
6 - Deploying NLP models for Twitter sentiment analysis/29 - Creating a Twitter developer account.mp4
9.4 MB
6 - Deploying NLP models for Twitter sentiment analysis/29 - Creating a Twitter developer account.vtt
2.3 kB
6 - Deploying NLP models for Twitter sentiment analysis/30 - Deploying tfidf and text classifier models for Twitter sentiment analysis.mp4
69 MB
6 - Deploying NLP models for Twitter sentiment analysis/30 - Deploying tfidf and text classifier models for Twitter sentiment analysis.vtt
5.1 kB
6 - Deploying NLP models for Twitter sentiment analysis/30 - twitter-sentiment-analysis.zip
34 kB
6 - Deploying NLP models for Twitter sentiment analysis/31 - Creating a text classifier using PyTorch.mp4
42 MB
6 - Deploying NLP models for Twitter sentiment analysis/31 - Creating a text classifier using PyTorch.vtt
3.6 kB
6 - Deploying NLP models for Twitter sentiment analysis/31 - text-classifier-pytorch.zip
18 kB
6 - Deploying NLP models for Twitter sentiment analysis/32 - Creating a REST API for the PyTorch NLP model.mp4
43 MB
6 - Deploying NLP models for Twitter sentiment analysis/32 - Creating a REST API for the PyTorch NLP model.vtt
2.9 kB
6 - Deploying NLP models for Twitter sentiment analysis/32 - pytorch-nlp-rest.zip
1.0 kB
6 - Deploying NLP models for Twitter sentiment analysis/33 - Twitter sentiment analysis with PyTorch REST API.mp4
52 MB
6 - Deploying NLP models for Twitter sentiment analysis/33 - Twitter sentiment analysis with PyTorch REST API.vtt
4.2 kB
6 - Deploying NLP models for Twitter sentiment analysis/33 - twitter-pytorch-rest.zip
24 kB
6 - Deploying NLP models for Twitter sentiment analysis/34 - Creating a text classifier using TensorFlow.mp4
7.7 MB
6 - Deploying NLP models for Twitter sentiment analysis/34 - Creating a text classifier using TensorFlow.vtt
1.6 kB
6 - Deploying NLP models for Twitter sentiment analysis/34 - text-classifier-tensorflow.zip
8.7 kB
6 - Deploying NLP models for Twitter sentiment analysis/35 - Creating a REST API for TensforFlow models using Flask.mp4
32 MB
6 - Deploying NLP models for Twitter sentiment analysis/35 - Creating a REST API for TensforFlow models using Flask.vtt
2.5 kB
6 - Deploying NLP models for Twitter sentiment analysis/35 - tf-nlp-flask-rest.zip
5.1 MB
6 - Deploying NLP models for Twitter sentiment analysis/36 - Serving TensorFlow models serverless.mp4
43 MB
6 - Deploying NLP models for Twitter sentiment analysis/36 - Serving TensorFlow models serverless.vtt
6.4 kB
6 - Deploying NLP models for Twitter sentiment analysis/36 - tf-serverless.zip
5.1 MB
6 - Deploying NLP models for Twitter sentiment analysis/37 - pytorch-serverless.zip
20 kB
6 - Deploying NLP models for Twitter sentiment analysis/37 - Serving PyTorch models serverless.mp4
30 MB
6 - Deploying NLP models for Twitter sentiment analysis/37 - Serving PyTorch models serverless.vtt
3.0 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/38 - TensorFlowjs introduction.mp4
3.3 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/38 - TensorFlowjs introduction.vtt
2.0 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/39 - Installing Visual Studio Code and Live Server.mp4
9.5 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/39 - Installing Visual Studio Code and Live Server.vtt
2.5 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/40 - JavaScript crash course optional.mp4
203 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/40 - JavaScript crash course optional.vtt
21 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/40 - javascript-crash-course.zip
27 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/41 - Adding TensforFlowjs to a web page.mp4
21 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/41 - Adding TensforFlowjs to a web page.vtt
1.7 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/41 - tfjs1.zip
542 B
7 - Deploying models on browser using JavaScript and TensorFlowjs/42 - Basic tensor operations using TensorFlowjs.mp4
7.6 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/42 - Basic tensor operations using TensorFlowjs.vtt
1.4 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/42 - tfjs2.zip
642 B
7 - Deploying models on browser using JavaScript and TensorFlowjs/43 - Deploying Keras model on a web page using TensorFlowjs.mp4
32 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/43 - Deploying Keras model on a web page using TensorFlowjs.vtt
3.2 kB
7 - Deploying models on browser using JavaScript and TensorFlowjs/43 - tfjs4.zip
10 kB
8 - Model as a mathematical formula Model as code/44 - Deriving formula from a Linear Regression Model.mp4
46 MB
8 - Model as a mathematical formula Model as code/44 - Deriving formula from a Linear Regression Model.vtt
10 kB
8 - Model as a mathematical formula Model as code/44 - linear-regression.zip
1.0 kB
8 - Model as a mathematical formula Model as code/45 - Model as code.mp4
94 MB
8 - Model as a mathematical formula Model as code/45 - Model as code.vtt
7.7 kB
8 - Model as a mathematical formula Model as code/45 - model-as-code.zip
1.1 kB
9 - Models in Database/46 - models-in-db.zip
6.4 kB
9 - Models in Database/46 - Storing and retrieving models from a database using Colab Postgres and psycopg2.mp4
60 MB
9 - Models in Database/46 - Storing and retrieving models from a database using Colab Postgres and psycopg2.vtt
11 kB
9 - Models in Database/47 - Creating a local model store with PostgreSQL.mp4
41 MB
9 - Models in Database/47 - Creating a local model store with PostgreSQL.vtt
5.5 kB
9 - Models in Database/47 - local-model-store.zip
1.9 kB