Descriptions
Machine Learning Deep Learning model deployment. In this course you will learn how to deploy Machine Learning Deep Learning Models using various techniques. This course takes you beyond model development and explains how the model can be consumed by different applications with hands-on examples. Python basics and Machine Learning model building with Scikit-learn will be covered in this course. This course is designed for beginners with no prior experience in Machine Learning and Deep Learning. You will also learn how to build and deploy a Neural Network using TensorFlow Keras and PyTorch. Google Cloud (GCP) free trial account is required to try out some of the labs designed for cloud environment.
What you’ll learn
- Machine Learning Deep Learning Model Deployment techniques
- Simple Model building with Scikit-Learn , TensorFlow and PyTorch
- Deploying Machine Learning Models on cloud instances
- TensorFlow Serving and extracting weights from PyTorch Models
- Creating Serverless REST API for Machine Learning models
- Deploying tf-idf and text classifier models for Twitter sentiment analysis
- Deploying models using TensorFlow js and JavaScript
- Machine Learning experiment and deployment using MLflow
Who this course is for
- Machine Learning beginners
Specificatoin of Machine Learning Deep Learning model deployment
- Publisher : Udemy
- Teacher : FutureX Skills
- Language: English
- Level : Beginner
- Lectures : 72
- Duration : 6 hours and 34 minutes
Content on 2024-1
Requirements
- Prior Machine Learning and Deep Learning background required but not a must have as we are covering Model building process also
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
The 2025/11 version has increased the number of lessons by 14 and the duration increased by 58 minutes compared to 2023/3.
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
2.63 GB
