Share this link via
Or copy link
Overview
Serving TensorFlow Keras PyTorch Python model Flask Serverless REST API MLOps MLflow NLP tensorflow.js deplo OpenAI GPT What you'll learn: Machine Learning Deep Learning Model Deployment techniquesSimple Model building with Scikit-Learn , TensorFlow and PyTorchDeploying Machine Learning Models on cloud instancesTensorFlow Serving and extracting weights from PyTorch ModelsCreating Serverless REST API for Machine Learning modelsDeploying tf-idf and text classifier models for Twitter sentiment analysisDeploying models using TensorFlow js and JavaScriptMachine Learning experiment and deployment using MLflow In this course...
Syllabus
- Introduction
- Building, evaluating and saving a Model
- Deploying the Model in other environments
- Creating a REST API for the Machine Learning Model
- Deploying Deep Learning Models
- Deploying NLP models for Twitter sentiment analysis
- Deploying models on browser using JavaScript and TensorFlow.js
- Model as a mathematical formula & Model as code
- Models in Database
- MLOps and MLflow
Instructor
FutureX Skills
Reviews
No reviews yet. Be the first to review!
Alternative Courses
You must be logged in to submit a review.