Human Emotions Detection in TensorFlow 2 - Multi-class Model with Convolutional Neural Networks

In this section we continue our human emotions detection project. We shall focus on building and testing a multi-class model based on convolutional neural networks. Previous (Introductory): Previous (Tensors and Variables): Previous (Linear Regression for Car Price Prediction): Previous (Convolutional Neural Networks for Malaria Diagnosis): Previous (Loading and Saving TensorFlow Model to Gdrive): Previous (Functional API, Model Subclassing and Custom Layers): Previous (Performance Measurement): Previous (Callbacks with TensorFlow 2): Previous (Mitigating Overfitting and Underfitting): Previous (Data Augmentation): Previous (Mixup Data Augmentation): Previous (Cutmix Data Augmentation): Previous (Albumentations): Previous (Custom Losses and Metrics): Previous (Eager and Graph modes): Previous (Custom Training): Previous (Tensorboard): Previous (Experiment Tracking): Previous (Hyperparameter Tuning): Previous (Dataset Versioning): Previous (Model Versioning): Previous (Dataset Preparation): Colab Notebook for TensorFlow 2: Check out our Deep Learning with TensorFlow 2 course (). Check out our Deep Learning for Computer Vision with TensorFlow 2 course (). Check out our Complete Linear Algebra Course Feel free to ask any questions. Always stay updated Connect with us here: Twitter: Facebook: link LinkedIn