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Face image recognition with neural networks is a popular and rapidly growing area of computer vision. Neural networks have shown remarkable success in accurately identifying and verifying faces, which has significant applications in various fields like security, surveillance, and biometrics. In this project, we will explore how to use Python and deep learning frameworks like TensorFlow and Keras to train a neural network model for face recognition. We will use the widely used dataset, the "Labeled Faces in the Wild" (LFW) dataset to train and test our model's accuracy. The project aims to demonstrate the effectiveness and potential of neural networks in face recognition tasks.

Image recognition with Python


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