Udemy - Machine Learning Deep Learning model deployment (3.2023)
大小
2.8 GB
文件数
155
Info Hash:
C61335E10C8C794AFCA54904ECCC811959B8CA19
收录时间
2025-12-15 12:12:10
更新时间
2025-12-22 10:14:47
文件列表 (155)
1 - Introduction/1 - Introduction.mp4
14.68 MB
1 - Introduction/1 - Introduction.vtt
2.93 KB
1 - Introduction/2 - What is a Model.mp4
4.14 MB
1 - Introduction/2 - What is a Model.vtt
1.5 KB
1 - Introduction/3 - How do we create a Model.mp4
7.58 MB
1 - Introduction/3 - How do we create a Model.vtt
2.78 KB
1 - Introduction/4 - Types of Machine Learning.mp4
15.3 MB
1 - Introduction/4 - Types of Machine Learning.vtt
4.82 KB
10 - MLOps and MLflow/48 - Machine Learning Operations MLOps.mp4
29.4 MB
10 - MLOps and MLflow/48 - Machine Learning Operations MLOps.vtt
7.1 KB
10 - MLOps and MLflow/49 - MLflow Introduction.mp4
6.99 MB
10 - MLOps and MLflow/49 - MLflow Introduction.vtt
2.2 KB
10 - MLOps and MLflow/50 - MLflow tracking concepts.mp4
4.73 MB
10 - MLOps and MLflow/50 - MLflow tracking concepts.vtt
2.09 KB
10 - MLOps and MLflow/51 - Installing MLflow on Windows and Mac.mp4
56.55 MB
10 - MLOps and MLflow/51 - Installing MLflow on Windows and Mac.vtt
3.37 KB
10 - MLOps and MLflow/52 - ml-pipeline-mlflow.py.zip
1.33 KB
10 - MLOps and MLflow/52 - Tracking Model training experiments with MLfLow.mp4
199.03 MB
10 - MLOps and MLflow/52 - Tracking Model training experiments with MLfLow.vtt
9.25 KB
10 - MLOps and MLflow/53 - ml-pipeline-mlflow-autolog.py.zip
984 B
10 - MLOps and MLflow/53 - MLflow autologging.mp4
71.24 MB
10 - MLOps and MLflow/53 - MLflow autologging.vtt
7.75 KB
10 - MLOps and MLflow/54 - MLflow REST APIs.mp4
19.21 MB
10 - MLOps and MLflow/54 - MLflow REST APIs.vtt
1.47 KB
10 - MLOps and MLflow/54 - mlflow-python-rest.zip
1.34 KB
10 - MLOps and MLflow/55 - Running MLflow on Colab.mp4
31.03 MB
10 - MLOps and MLflow/55 - Running MLflow on Colab.vtt
2.72 KB
10 - MLOps and MLflow/55 - running-mlflow-on-colab.zip
5.72 KB
10 - MLOps and MLflow/56 - mlflow-demo-2.zip
875 B
10 - MLOps and MLflow/56 - Running MLFlow on Databricks.mp4
106.46 MB
10 - MLOps and MLflow/56 - Running MLFlow on Databricks.vtt
9.71 KB
10 - MLOps and MLflow/57 - mlflow-pytorch.zip
7.58 KB
10 - MLOps and MLflow/57 - Tracking PyTorch experiments with MLflow.mp4
29.73 MB
10 - MLOps and MLflow/57 - Tracking PyTorch experiments with MLflow.vtt
2.41 KB
10 - MLOps and MLflow/58 - Deploying Models with MLflow.mp4
10.96 MB
10 - MLOps and MLflow/58 - Deploying Models with MLflow.vtt
2.08 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
21.33 MB
2 - Building evaluating and saving a Model/5 - Creating a Spyder development environment.vtt
2.48 KB
2 - Building evaluating and saving a Model/6 - Python NumPy Pandas Matplotlib crash course.mp4
179.17 MB
2 - Building evaluating and saving a Model/6 - Python NumPy Pandas Matplotlib crash course.vtt
19.02 KB
2 - Building evaluating and saving a Model/6 - python-np-pd-plt.zip
1.02 KB
2 - Building evaluating and saving a Model/7 - Building and evaluating a Classification Model.mp4
253.53 MB
2 - Building evaluating and saving a Model/7 - Building and evaluating a Classification Model.vtt
15.02 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
1.06 KB
2 - Building evaluating and saving a Model/8 - Saving the Model and the Scaler.mp4
18.45 MB
2 - Building evaluating and saving a Model/8 - Saving the Model and the Scaler.vtt
4.37 KB
3 - Deploying the Model in other environments/10 - use-model-colab.zip
2.51 KB
3 - Deploying the Model in other environments/10 - Using the Model in Google Colab environment.mp4
21.09 MB
3 - Deploying the Model in other environments/10 - Using the Model in Google Colab environment.vtt
4.69 KB
3 - Deploying the Model in other environments/9 - Predicting locally with deserialized Pickle objects.mp4
37.71 MB
3 - Deploying the Model in other environments/9 - Predicting locally with deserialized Pickle objects.vtt
3.18 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
42.61 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
49.82 MB
4 - Creating a REST API for the Machine Learning Model/12 - Creating a REST API for the Model.vtt
3.95 KB
4 - Creating a REST API for the Machine Learning Model/13 - Signing up for a Google Cloud free trial.mp4
25.69 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
117.46 MB
4 - Creating a REST API for the Machine Learning Model/14 - Hosting the Machine Learning REST API on the Cloud.vtt
12.42 KB
4 - Creating a REST API for the Machine Learning Model/15 - Deleting the VM instance.mp4
3.46 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
75.63 MB
4 - Creating a REST API for the Machine Learning Model/16 - Serverless Machine Learning API using Cloud Functions.vtt
12.05 KB
4 - Creating a REST API for the Machine Learning Model/17 - colab-rest-api.zip
4.81 KB
4 - Creating a REST API for the Machine Learning Model/17 - Creating a REST API on Google Colab.mp4
35.47 MB
4 - Creating a REST API for the Machine Learning Model/17 - Creating a REST API on Google Colab.vtt
4.94 KB
4 - Creating a REST API for the Machine Learning Model/18 - Postman REST client.mp4
11.96 MB
4 - Creating a REST API for the Machine Learning Model/18 - Postman REST client.vtt
2.33 KB
5 - Deploying Deep Learning Models/19 - Understanding Deep Learning Neural Network.mp4
22.35 MB
5 - Deploying Deep Learning Models/19 - Understanding Deep Learning Neural Network.vtt
5.67 KB
5 - Deploying Deep Learning Models/20 - Building and deploying PyTorch models.mp4
82.36 MB
5 - Deploying Deep Learning Models/20 - Building and deploying PyTorch models.vtt
11.09 KB
5 - Deploying Deep Learning Models/20 - save-export-reload-pytorch-models.zip
11.26 KB
5 - Deploying Deep Learning Models/21 - Creating a REST API for the PyTorch Model.mp4
59.02 MB
5 - Deploying Deep Learning Models/21 - Creating a REST API for the PyTorch Model.vtt
2.77 KB
5 - Deploying Deep Learning Models/21 - pytorch-flask.zip
777 B
5 - Deploying Deep Learning Models/22 - Saving loading TensorFlow Keras models.mp4
63.48 MB
5 - Deploying Deep Learning Models/22 - Saving loading TensorFlow Keras models.vtt
6.45 KB
5 - Deploying Deep Learning Models/22 - tf-serving-save-export.zip
21.15 KB
5 - Deploying Deep Learning Models/23 - Understanding Docker containers.mp4
5.8 MB
5 - Deploying Deep Learning Models/23 - Understanding Docker containers.vtt
3.24 KB
5 - Deploying Deep Learning Models/24 - Creating a REST API using TensorFlow Model Server.mp4
69.52 MB
5 - Deploying Deep Learning Models/24 - Creating a REST API using TensorFlow Model Server.vtt
6.08 KB
5 - Deploying Deep Learning Models/24 - tf-model-serving.zip
3.04 KB
5 - Deploying Deep Learning Models/25 - Converting a PyTorch model to TensorFlow format using ONNX.mp4
29.24 MB
5 - Deploying Deep Learning Models/25 - Converting a PyTorch model to TensorFlow format using ONNX.vtt
3.19 KB
5 - Deploying Deep Learning Models/25 - pytorch-create-save-onnx.zip
7.48 KB
6 - Deploying NLP models for Twitter sentiment analysis/26 - Converting text to numeric values using bagofwords model.mp4
41.26 MB
6 - Deploying NLP models for Twitter sentiment analysis/26 - Converting text to numeric values using bagofwords model.vtt
5.29 KB
6 - Deploying NLP models for Twitter sentiment analysis/27 - tfidf model for converting text to numeric values.mp4
51.48 MB
6 - Deploying NLP models for Twitter sentiment analysis/27 - tfidf model for converting text to numeric values.vtt
4.71 KB
6 - Deploying NLP models for Twitter sentiment analysis/28 - Creating and saving text classifier and tfidf models.mp4
87.55 MB
6 - Deploying NLP models for Twitter sentiment analysis/28 - Creating and saving text classifier and tfidf models.vtt
11.48 KB
6 - Deploying NLP models for Twitter sentiment analysis/28 - text-classifier.zip.zip
29.8 KB
6 - Deploying NLP models for Twitter sentiment analysis/29 - Creating a Twitter developer account.mp4
9.37 MB
6 - Deploying NLP models for Twitter sentiment analysis/29 - Creating a Twitter developer account.vtt
2.31 KB
6 - Deploying NLP models for Twitter sentiment analysis/30 - Deploying tfidf and text classifier models for Twitter sentiment analysis.mp4
68.67 MB
6 - Deploying NLP models for Twitter sentiment analysis/30 - Deploying tfidf and text classifier models for Twitter sentiment analysis.vtt
5.12 KB
6 - Deploying NLP models for Twitter sentiment analysis/30 - twitter-sentiment-analysis.zip
34.31 KB
6 - Deploying NLP models for Twitter sentiment analysis/31 - Creating a text classifier using PyTorch.mp4
41.51 MB
6 - Deploying NLP models for Twitter sentiment analysis/31 - Creating a text classifier using PyTorch.vtt
3.59 KB
6 - Deploying NLP models for Twitter sentiment analysis/31 - text-classifier-pytorch.zip
18.42 KB
6 - Deploying NLP models for Twitter sentiment analysis/32 - Creating a REST API for the PyTorch NLP model.mp4
42.62 MB
6 - Deploying NLP models for Twitter sentiment analysis/32 - Creating a REST API for the PyTorch NLP model.vtt
2.93 KB
6 - Deploying NLP models for Twitter sentiment analysis/32 - pytorch-nlp-rest.zip
1.02 KB
6 - Deploying NLP models for Twitter sentiment analysis/33 - Twitter sentiment analysis with PyTorch REST API.mp4
52.26 MB
6 - Deploying NLP models for Twitter sentiment analysis/33 - Twitter sentiment analysis with PyTorch REST API.vtt
4.16 KB
6 - Deploying NLP models for Twitter sentiment analysis/33 - twitter-pytorch-rest.zip
24.02 KB
6 - Deploying NLP models for Twitter sentiment analysis/34 - Creating a text classifier using TensorFlow.mp4
7.69 MB
6 - Deploying NLP models for Twitter sentiment analysis/34 - Creating a text classifier using TensorFlow.vtt
1.57 KB
6 - Deploying NLP models for Twitter sentiment analysis/34 - text-classifier-tensorflow.zip
8.73 KB
6 - Deploying NLP models for Twitter sentiment analysis/35 - Creating a REST API for TensforFlow models using Flask.mp4
31.96 MB
6 - Deploying NLP models for Twitter sentiment analysis/35 - Creating a REST API for TensforFlow models using Flask.vtt
2.54 KB
6 - Deploying NLP models for Twitter sentiment analysis/35 - tf-nlp-flask-rest.zip
5.09 MB
6 - Deploying NLP models for Twitter sentiment analysis/36 - Serving TensorFlow models serverless.mp4
42.83 MB
6 - Deploying NLP models for Twitter sentiment analysis/36 - Serving TensorFlow models serverless.vtt
6.38 KB
6 - Deploying NLP models for Twitter sentiment analysis/36 - tf-serverless.zip
5.08 MB
6 - Deploying NLP models for Twitter sentiment analysis/37 - pytorch-serverless.zip
20.24 KB
6 - Deploying NLP models for Twitter sentiment analysis/37 - Serving PyTorch models serverless.mp4
30.01 MB
6 - Deploying NLP models for Twitter sentiment analysis/37 - Serving PyTorch models serverless.vtt
3.01 KB
7 - Deploying models on browser using JavaScript and TensorFlowjs/38 - TensorFlowjs introduction.mp4
3.29 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/38 - TensorFlowjs introduction.vtt
2.04 KB
7 - Deploying models on browser using JavaScript and TensorFlowjs/39 - Installing Visual Studio Code and Live Server.mp4
9.47 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/39 - Installing Visual Studio Code and Live Server.vtt
2.47 KB
7 - Deploying models on browser using JavaScript and TensorFlowjs/40 - JavaScript crash course optional.mp4
203.1 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/40 - JavaScript crash course optional.vtt
21.21 KB
7 - Deploying models on browser using JavaScript and TensorFlowjs/40 - javascript-crash-course.zip
27.27 KB
7 - Deploying models on browser using JavaScript and TensorFlowjs/41 - Adding TensforFlowjs to a web page.mp4
20.57 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/41 - Adding TensforFlowjs to a web page.vtt
1.73 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
1.44 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
31.71 MB
7 - Deploying models on browser using JavaScript and TensorFlowjs/43 - Deploying Keras model on a web page using TensorFlowjs.vtt
3.18 KB
7 - Deploying models on browser using JavaScript and TensorFlowjs/43 - tfjs4.zip
10.3 KB
8 - Model as a mathematical formula Model as code/44 - Deriving formula from a Linear Regression Model.mp4
46.02 MB
8 - Model as a mathematical formula Model as code/44 - Deriving formula from a Linear Regression Model.vtt
10.23 KB
8 - Model as a mathematical formula Model as code/44 - linear-regression.zip
1 KB
8 - Model as a mathematical formula Model as code/45 - Model as code.mp4
93.8 MB
8 - Model as a mathematical formula Model as code/45 - Model as code.vtt
7.71 KB
8 - Model as a mathematical formula Model as code/45 - model-as-code.zip
1.14 KB
9 - Models in Database/46 - models-in-db.zip
6.39 KB
9 - Models in Database/46 - Storing and retrieving models from a database using Colab Postgres and psycopg2.mp4
59.95 MB
9 - Models in Database/46 - Storing and retrieving models from a database using Colab Postgres and psycopg2.vtt
10.82 KB
9 - Models in Database/47 - Creating a local model store with PostgreSQL.mp4
41.14 MB
9 - Models in Database/47 - Creating a local model store with PostgreSQL.vtt
5.54 KB
9 - Models in Database/47 - local-model-store.zip
1.93 KB