Facial Emotion Recognition A-Z: Hands-On is hands-on on how to train your own Machine Learning based Face Recognition Model in Python . Develop Django Web App using MVT Framework and Design Database in Django . Train Support Vector Machines, Random Forest Machines, SVM and Random Forest models in Python to face recognition . Train your own facial Emotion recognition using Machine Learning in Python and develop your own face recognition model with OpenCV Essentials . Train and deploy your own machine-learning based face recognition models in Heroku Cloud . Train & Deploy your own Face recognition models using OpenCV and SVM . Use OpenCV for face recognition with Deep Neural Networks .API quota exceeded. You can make 500 requests per day.
Who this course is for:
Anyone who want to learn OpenCV project
Python Developers curious about Artificial Intelligence Projects
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Face Recognition A-Z: Hands-On Build Train & Deploy free download