Deploy Django + AI ML Face Recognition Web App in AWS
Deploy Django + AI ML Face Recognition Web App in AWS
Last updated 1/2024
Created by G Sudheer,datascience Anywhere,Brightshine Learn
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 104 Lectures ( 8h 14m ) | 3.76 GB
Last updated 1/2024
Created by G Sudheer,datascience Anywhere,Brightshine Learn
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 104 Lectures ( 8h 14m ) | 3.76 GB
Develop & Deploy Face Recognition, Facial Emotion using OpenCV, Machine Learning, Django, Database in Python in AWS
What you'll learn
Deploy Face Recognition Django Web App in AWS and Heroku Cloud
Train your own Machine Learning based Face Recognition Model in Python
Train own Facial Emotion Recognition using Machine Learning in Python
Develop Django Web App using MVT Framework
Design SQLlite Database in Django
Train Support Vector Machines, Random Forest Model for Face Recognition in Python
Debuging error while Deploying in Heroku
Interphase Machine Learning Models with MVT Framework
Build Ensemble (stacking) Machine Learning Model combining SVM and Random Forest Models in Python
Face Detection with Deep Neural Networks
OpenCV Essentials for Face Recognition
Managing Heroku Cloud
Styling Django Web App with Bootstrap
Requirements
Should be at least beginner to Python
Basic knowledge in Machine Learning
Understanding HTML, Bootstrap
Should know how to install Python Libraries using pip
More info