Machine Learning Deep Learning Model Deployment | A08F710E3B02A57364F1F5578BFDE9E34D3E78A7

Machine Learning Deep Learning Model Deployment

Name	Machine Learning Deep Learning Model Deployment	DOWNLOAD Copy Link
Total Size	1.8 GB
Total Files	180
Last Seen	2024-07-22 23:56
Hash	A08F710E3B02A57364F1F5578BFDE9E34D3E78A7

/.../07 Deploying models on browser using JavaScript and TensorFlow.js/
040 JavaScript crash course (optional).mp4	154.2 MB
040 javascript-crash-course.zip	27.9 KB
040 JavaScript crash course (optional).en.srt	25.3 KB
043 tfjs4.zip	10.5 KB
041 Adding TensforFlow.js to a web page.en.srt	2.0 KB
043 Deploying Keras model on a web page using TensorFlow.js.en.srt	3.7 KB
039 Installing Visual Studio Code and Live Server.en.srt	2.9 KB
038 TensorFlow.js introduction.en.srt	2.3 KB
042 Basic tensor operations using TensorFlow.js.en.srt	1.7 KB
042 tfjs2.zip	0.6 KB
041 tfjs1.zip	0.5 KB
043 Deploying Keras model on a web page using TensorFlow.js.mp4	25.1 MB
039 Installing Visual Studio Code and Live Server.mp4	16.6 MB
041 Adding TensforFlow.js to a web page.mp4	16.1 MB
042 Basic tensor operations using TensorFlow.js.mp4	11.9 MB
038 TensorFlow.js introduction.mp4	5.3 MB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/01 Introduction/
001 Introduction.en.srt	2.7 KB
002 What is a Model_.en.srt	1.7 KB
004 Types of Machine Learning.en.srt	4.9 KB
003 How do we create a Model_.en.srt	3.1 KB
004 Types of Machine Learning.mp4	13.8 MB
001 Introduction.mp4	12.0 MB
003 How do we create a Model_.mp4	7.0 MB
002 What is a Model_.mp4	5.0 MB
/.../06 Deploying NLP models for Twitter sentiment analysis/
030 twitter-sentiment-analysis.zip	35.1 KB
028 text-classifier.zip.zip	30.5 KB
033 twitter-pytorch-rest.zip	24.6 KB
037 pytorch-serverless.zip	20.7 KB
031 text-classifier-pytorch.zip	18.9 KB
028 Creating and saving text classifier and tf-idf models.en.srt	12.8 KB
034 text-classifier-tensorflow.zip	8.9 KB
036 Serving TensorFlow models serverless.en.srt	7.1 KB
026 Converting text to numeric values using bag-of-words model.en.srt	5.9 KB
030 Deploying tf-idf and text classifier models for Twitter sentiment analysis.en.srt	5.7 KB
027 tf-idf model for converting text to numeric values.en.srt	5.3 KB
031 Creating a text classifier using PyTorch.en.srt	4.0 KB
037 Serving PyTorch models serverless.en.srt	3.3 KB
035 Creating a REST API for TensforFlow models using Flask.en.srt	2.8 KB
029 Creating a Twitter developer account.en.srt	2.6 KB
034 Creating a text classifier using TensorFlow.en.srt	1.8 KB
032 pytorch-nlp-rest.zip	1.0 KB
028 Creating and saving text classifier and tf-idf models.mp4	70.8 MB
036 Serving TensorFlow models serverless.mp4	47.4 MB
030 Deploying tf-idf and text classifier models for Twitter sentiment analysis.mp4	42.2 MB
033 Twitter sentiment analysis with PyTorch REST API.mp4	42.1 MB
026 Converting text to numeric values using bag-of-words model.mp4	35.0 MB
027 tf-idf model for converting text to numeric values.mp4	31.2 MB
032 Creating a REST API for the PyTorch NLP model.mp4	28.9 MB
031 Creating a text classifier using PyTorch.mp4	25.7 MB
037 Serving PyTorch models serverless.mp4	23.7 MB
035 Creating a REST API for TensforFlow models using Flask.mp4	20.1 MB
029 Creating a Twitter developer account.mp4	17.7 MB
034 Creating a text classifier using TensorFlow.mp4	11.0 MB
035 tf-nlp-flask-rest.zip	5.3 MB
036 tf-serverless.zip	5.3 MB
/.../05 Deploying Deep Learning Models/
022 tf-serving-save-export.zip	21.7 KB
020 Building and deploying PyTorch models.en.srt	12.3 KB
020 save-export-reload-pytorch-models.zip	11.5 KB
025 pytorch-create-save-onnx.zip	7.7 KB
019 Understanding Deep Learning Neural Network.en.srt	6.3 KB
021 pytorch-flask.zip	0.8 KB
023 Understanding Docker containers.en.srt	3.6 KB
024 tf-model-serving.zip	3.1 KB
020 Building and deploying PyTorch models.mp4	67.6 MB
024 Creating a REST API using TensorFlow Model Server.mp4	44.4 MB
022 Saving & loading TensorFlow Keras models.mp4	40.6 MB
021 Creating a REST API for the PyTorch Model.mp4	35.0 MB
019 Understanding Deep Learning Neural Network.mp4	23.4 MB
025 Converting a PyTorch model to TensorFlow format using ONNX.mp4	23.4 MB
023 Understanding Docker containers.mp4	9.5 MB
/.../02 Building, evaluating and saving a Model/
005 Creating a Spyder development environment.en.srt	2.4 KB
006 Python NumPy Pandas Matplotlib crash course.en.srt	17.1 KB
006 python-np-pd-plt.zip	1.0 KB
007 git-hub-link.txt	0.1 KB
007 ml-classification.zip	1.1 KB
008 Saving the Model and the Scaler.en.srt	5.1 KB
006 Python NumPy Pandas Matplotlib crash course.mp4	143.4 MB
007 Building and evaluating a Classification Model.mp4	117.1 MB
008 Saving the Model and the Scaler.mp4	27.9 MB
005 Creating a Spyder development environment.mp4	18.7 MB
/.../08 Model as a mathematical formula/
044 Deriving formula from a Linear Regression Model.en.srt	12.0 KB
044 linear-regression.zip	1.0 KB
044 Deriving formula from a Linear Regression Model.mp4	67.2 MB
/.../04 Creating a REST API for the Machine Learning Model/
016 Serverless Machine Learning API using Cloud Functions.en.srt	11.6 KB
011 flask-hello-world.zip	0.7 KB
012 classifier-rest-service.zip	0.8 KB
013 Signing up for a Google Cloud free trial.en.srt	1.8 KB
014 classifier-rest-service-on-GCP.zip	0.9 KB
015 Deleting the VM instance.en.srt	0.8 KB
016 google-cloud-functions-serverless-ml.zip	0.9 KB
011 Flask REST API Hello World.en.srt	5.2 KB
018 Postman REST client.en.srt	2.2 KB
017 colab-rest-api.zip	4.9 KB
012 Creating a REST API for the Model.en.srt	4.6 KB
017 Creating a REST API on Google Colab.en.srt	4.2 KB
016 Serverless Machine Learning API using Cloud Functions.mp4	57.9 MB
014 Hosting the Machine Learning REST API on the Cloud.mp4	54.7 MB
012 Creating a REST API for the Model.mp4	46.0 MB
011 Flask REST API Hello World.mp4	35.1 MB
017 Creating a REST API on Google Colab.mp4	30.5 MB
018 Postman REST client.mp4	13.8 MB
013 Signing up for a Google Cloud free trial.mp4	9.4 MB
015 Deleting the VM instance.mp4	4.0 MB
/.../03 Deploying the Model in other environments/
009 use-model.zip	0.3 KB
010 use-model-colab.zip	2.6 KB
010 Using the Model in Google Colab environment.en.srt	5.3 KB
009 Predicting locally with deserialized Pickle objects.en.srt	3.5 KB
010 Using the Model in Google Colab environment.mp4	26.5 MB
009 Predicting locally with deserialized Pickle objects.mp4	22.9 MB
/.../09 MLOps and MLflow/
047 Tracking Model training experiments with MLfLow.en.srt	10.3 KB
050 mlflow-pytorch.zip	7.8 KB
049 running-mlflow-on-colab.zip	5.9 KB
049 Running MLflow on Colab.en.srt	3.2 KB
050 Tracking PyTorch experiments with MLflow.en.srt	2.8 KB
051 Deploying Models with MLflow.en.srt	2.3 KB
046 MLflow Introduction.en.srt	1.1 KB
048 Why track ML experiments_.en.srt	1.1 KB
047 ml-pipeline-mlfow.zip	0.8 KB
051 mlflow-deploy.zip	0.6 KB
047 Tracking Model training experiments with MLfLow.mp4	74.9 MB
049 Running MLflow on Colab.mp4	26.3 MB
050 Tracking PyTorch experiments with MLflow.mp4	20.0 MB
051 Deploying Models with MLflow.mp4	13.7 MB
045 Machine Learning Operations (MLOps).mp4	9.5 MB
046 MLflow Introduction.mp4	5.0 MB
048 Why track ML experiments_.mp4	2.4 MB
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Total files 180