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 best results. Prerequisites: —Basic knowledge of Python and machine learning concepts —Google Colab (https://colab.research.google.com/) GitHub Link: ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at workshops@theassembly.ae Our website: http://theassembly.ae Social media: —Instagram: http://instagram.com/makesmartthings —Facebook: http://fb.com/makesmartthings —Twitter: http://twitter.com/makesmartthings #DataScience #NeuralNetworks #DeepLearning