Convolutional Neural Networks (CNNs) are a special category of deep neural networks particularly suited to the analysis of visual imagery – and commonly applied in facial recognition, image classification, and medical imaging. In this session, we’ll demonstrate how to use CNNs to detect a person’s mood and emotions based on their facial expressions. We’ll use TensorFlow in Colab to build, train, and test our model & show you how to refine the process for the best results.
Prerequisites: —Basic knowledge of Python and machine learning concepts —Google Colab
Detect Emotions with CNNs
Convolutional Neural Networks (CNNs) are a special category of deep neural networks particularly suited to the analysis of visual imagery – and commonly applied in facial recognition, image classification, and medical imaging. In this session, we’ll demonstrate how to use CNNs to detect a person’s mood and emotions based on their facial expressions. We’ll use TensorFlow in Colab to build, train, and test our model & show you how to refine the process for the best results.
Prerequisites:
—Basic knowledge of Python and machine learning concepts
—Google Colab