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Title: Face Recognition con imágenes de Data Streaming con modelos generados a partir de Transfer Learning y diferentes Funciones de Activación
Author: Ramirez Subeldia, Elvio
Tutor: Ortiz Santiago, Victor Alejandro
Others: Daradoumis, Thanasis  
Florit Medina, Xavier
Borja Matas, Jaime Borja
Abstract: A challenge when you want to work training neuronal artificial network, is to create a specific architecture and initial values that can start your neural network. This investigation work, using Transfer Learning and different Activation Functions to create a model for Face Recognition with Video Data Streaming, raises a result of comparative between different models. To solve this analysis, three modules are created, the first one dataset creator module, second training module, third Face Recognition module. In dataset creator module we take Transfer Learning from OpenCV. We will use the library for face detection ‘Haar Cascades’ and capturing images from webcam will be possible to create the dataset. Training module, in this module we used Transfer Learning from VGG16 library, facilitating the creation of the corresponding architecture for a convolutional network. Also, we implemented ‘imagenNET’ to get the initial values for the network. Adapting each neuronal network for each Activation Function ‘ReLu’, ‘Swish’ and ‘Mish’. Keras and Tensorflow library will facilitate the use of the different network layers, getting a trained model for Face Recognition with metrics of cost and functioning. Finally, in Face Recognition module, we import the result of the model trained and Face recognition is tested. Analyzed the results of the tests, no conclusive results are obtained on which Activation Function (‘ReLu’, ‘Swish’, ‘Mish’) gives the best result for Face Recognition, but the model remains for future lines of research where the hyperparameters of the neural network can be tuned.
Keywords: face recognition
transfer learning
deep learning
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 25-Jun-2022
Publication license:  
Appears in Collections:Bachelor thesis, research projects, etc.

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