A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)
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Updated
Jun 14, 2021 - Jupyter Notebook
A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)
This repository contains a short introduction on the topic of audio and speech processing -- from basics to applications.
Jupyter Notebook containing a Convolutional Neural Network to classify emotions from facial expressions trained on the FER2013 dataset
A speech emotion recognition notebook that learns a model to identify the emotion within human speech with an accuracy of roughly 60%.
A repository of notebooks with cnn for identifying different emotions in different combinations
Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a EMOTION RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Applying Computer vision and neural network on client images to predict what category they will buy and the best sales man. Aims to improve the service and the sales in retail store, using Jupiter Notebook.
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