Implementing FaceID Technology with a Siamese Neural Network. Understanding more weird networks.
Face ID is a technology, that allows devices to give access tho themselves only to allowed identities. It uses this looking at the person’s face and if it is recognized as a person with access, the systems give it. For a long time, it was implementing throw different technologies, but nowadays after the massive development of the ANN and achieving high performance in computer vision by CNNs, the Neural Network has become a more attractive way to do that.
The most straightforward way to do that would be to build a simple CNN that would classify the user’s face as the ‘owner’/’non-owner’ of this device. However, this implementation has some drawbacks.
So the user wouldn’t buy a device If he/she must wait for 3 to 5 hours to train the model that would recognize himself. Also, it takes a lot of images. Image how the user must take around 1000 selfies of him/herself for face recognition.
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Basic fundamentals of CNN. CNN’s are a special type of ANN which accepts images as inputs. Below is the representation of a basic neuron of an ANN which takes as input X vector.
This post provides the details of the architecture of Convolutional Neural Network (CNN), functions and training of each layer, ending with a summary of the training of CNN.
What is Artificial Intelligence (AI)? AI is the ability of a machine to think like human, learn and perform tasks like a human. Know the future of AI, Examples of AI and who provides the course of Artificial Intelligence?
Fundamentals of Neural Network in Machine Learning. What is a Neuron? What is the Activation Function? How do Neural Network Works? How do Neural Networks Learn?