Topic: custom-cnn Goto Github
Some thing interesting about custom-cnn
Some thing interesting about custom-cnn
custom-cnn,Our novel approach is dedicated to refining image classification using customized CNN Kernel. The primary objective is to enhance algorithmic performance, bolstering adaptability and feature extraction capabilities.
User: anaghavinayakkamat
custom-cnn,sign-to-speech
User: dasarijayanth
custom-cnn,Legacy repo for the Artificial Intelligence capable of patacΓ³n recognition (Now on HuggingFace)
User: frncscp
Home Page: https://patacon.org
custom-cnn,The architecture is a deep neural network for image processing, composed of convolutional layers capturing features, followed by pooling and fully connected layers. It uses ReLU activation, dropout for regularization, and ends with a linear output layer for classification.
User: salehahmedshafin
custom-cnn,Implementing a model that can verify if two images belongs to same personality or not. Answer the question "Is this the claimed person?" It is a 1:1 matching problem i.e. given a face your task is to compare the candidate face to another and verify whether it is a match or not. My custom CNN model has achieved marvelous performance on the dataset.
User: sheezashabbir
custom-cnn,Training a new classification network which should tell the identity label of an image and also be able to classify: β Gender as Male/Female β Wearing Glasses/ Not Wearing Glasses β Smiling/ Not Smiling β Wearing hat/ not wearing hat β young/old. As we need 5 outputs from a single input. The custom CNN model consists of NN architecture with 5 heads return my the model. My model performance in Multilabel classification task is totally remarkable.
User: sheezashabbir
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