Can a CNN accurately predict Michael Scott’s emotions? (Python, Tensorflow, Keras Tutorial)

Опубликовано: 17 Сентябрь 2024
на канале: Kite
2k
95

In this Python tutorial, Caelan demonstrates how to use a pre-trained convolutional neural network (CNN) called the Speech-Emotion-Analyzer. The voice recognizer is used to detect the speech and emotions of Michael Scott and Dwight Schrute from The Office!

Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. We made this YouTube channel and Kite to help you be more productive:

***************************************
JOIN our community of developers ►

SUBSCRIBE for more Python tips, tutorials, and coding interview prep! ►

Follow us Twitter ►

Github Project Repo ►

Original Speech-Emotion_Analyzer Model ►
***************************************
ADDITIONAL RESOURCES:

6 Python Tips and Tricks YOU Should Know ►


Push- Up Bot?! Make a Discord Bot in Python [step-by-step tutorial] ►


How to Build HANGMAN in 10 Minutes (Python tutorial) ►


***************************************
Don’t forget to subscribe :)


STAY TUNED:
Kite ►
Twitter ►
YouTube ►