Facial Emotion Recognition using Keras Tensorflow | Deep Learning | Python скачать в хорошем качестве

Facial Emotion Recognition using Keras Tensorflow | Deep Learning | Python

Resources and Code: Find the full code here: https://www.kaggle.com/code/codingloa... Download the dataset here: https://www.kaggle.com/datasets/msamb... 🔍 Facial Expression Recognition using FER-2013 & CNN | Keras ImageDataGenerator for Data Augmentation 🎭 In this project, I built a Facial Expression Recognition (FER) system using the FER-2013 dataset and a Convolutional Neural Network (CNN). To enhance model performance, I applied data augmentation using Keras' ImageDataGenerator, improving generalization and accuracy. The model can classify emotions such as happy, sad, angry, surprised, and more! 🔥 Project Highlights: ✅ Dataset: FER-2013 (Facial Expression Recognition 2013) ✅ Model: Custom CNN architecture ✅ Preprocessing: Data Augmentation via Keras ImageDataGenerator ✅ Training: Optimized for better accuracy & performance ✅ Output: Detects emotions from facial expressions in real time 📌 Technologies Used: 🔹 Python | Keras | TensorFlow | OpenCV | NumPy | Matplotlib 🔔 Don't forget to like, share, and subscribe for more AI/ML projects! 💬 Comment below if you have any questions or suggestions! #FacialRecognition #FER2013 #DeepLearning #CNN #MachineLearning #DataAugmentation #Keras #Python for SEO - #FacialRecognition, #FER2013, #DeepLearning, #MachineLearning, #CNN, #AI, #ComputerVision, #DataAugmentation, #Keras, #TensorFlow, #Python, #OpenCV, #EmotionDetection, #NeuralNetworks, #ImageProcessing, #AIProjects, #ArtificialIntelligence, #Tech, #DataScience